Lots of GSEs now use "characteristics_ch*" meta header data for key-value
pairs of annotation. If that is the case, this simply cleans the GSM
GEOSoft @meta slot up and transforms the keys to column names and the
values to column values.
Examples
gse201530_soft <- geo(
"GSE201530",
odir = tempdir(),
gse_matrix = FALSE
)
#> Downloading 1 GSE soft file from FTP site
parse_gsm_list(gsm(gse201530_soft))
#> channel_count ch1_gender ch1_age
#> GSM6066090 1 Male 58
#> GSM6066091 1 Female 56
#> GSM6066092 1 Female 37
#> GSM6066093 1 Female 19
#> GSM6066094 1 Female 31
#> GSM6066095 1 Male 36
#> GSM6066096 1 Female 21
#> GSM6066097 1 Female 23
#> GSM6066098 1 Male 50
#> GSM6066099 1 Male 36
#> GSM6066100 1 Female 30
#> GSM6066101 1 Female 17
#> GSM6066102 1 Male 20
#> GSM6066103 1 Male 57
#> GSM6066104 1 Male 30
#> GSM6066105 1 Female 21
#> GSM6066106 1 Male 23
#> GSM6066107 1 Female 27
#> GSM6066108 1 Female 80
#> GSM6066109 1 Female 38
#> GSM6066110 1 Male 39
#> GSM6066111 1 Female 29
#> GSM6066112 1 Female 55
#> GSM6066113 1 Male 26
#> GSM6066114 1 Male 83
#> GSM6066115 1 Female 23
#> GSM6066116 1 Female 20
#> GSM6066117 1 Male 82
#> GSM6066118 1 Female 51
#> GSM6066119 1 Male 54
#> GSM6066120 1 Female 83
#> GSM6066121 1 Female 32
#> GSM6066122 1 Male 36
#> GSM6066123 1 Female 30
#> GSM6066124 1 Female 28
#> GSM6066125 1 Male 29
#> GSM6066126 1 Male 61
#> GSM6066127 1 Female 59
#> GSM6066128 1 Female 54
#> GSM6066129 1 Male 63
#> GSM6066130 1 Female 62
#> GSM6066131 1 Male 26
#> GSM6066132 1 Female 24
#> GSM6066133 1 Female 32
#> GSM6066134 1 Female 35
#> GSM6066135 1 Female 38
#> GSM6066136 1 Female 37
#> GSM6066137 1 Female 24
#> GSM6066138 1 Female 40
#> GSM6066139 1 Female 61
#> GSM6066140 1 Female 42
#> GSM6066141 1 Female 39
#> GSM6066142 1 Female 39
#> GSM6066143 1 Female 40
#> GSM6066144 1 Male 28
#> ch1_group (by covid-19 vaccination, prior infection)
#> GSM6066090 Healthy control
#> GSM6066091 Healthy control
#> GSM6066092 Healthy control
#> GSM6066093 Healthy control
#> GSM6066094 Healthy control
#> GSM6066095 Healthy control
#> GSM6066096 Healthy control
#> GSM6066097 Healthy control
#> GSM6066098 Vaccination, No prior infection
#> GSM6066099 Vaccination, No prior infection
#> GSM6066100 Vaccination, No prior infection
#> GSM6066101 Vaccination, No prior infection
#> GSM6066102 Vaccination, No prior infection
#> GSM6066103 Vaccination, No prior infection
#> GSM6066104 Vaccination, No prior infection
#> GSM6066105 Vaccination, No prior infection
#> GSM6066106 Vaccination, No prior infection
#> GSM6066107 Vaccination, No prior infection
#> GSM6066108 Vaccination, No prior infection
#> GSM6066109 Vaccination, No prior infection
#> GSM6066110 No vaccination, Prior infection
#> GSM6066111 Vaccination, No prior infection
#> GSM6066112 Vaccination, No prior infection
#> GSM6066113 Vaccination, No prior infection
#> GSM6066114 No vaccination, No prior infection
#> GSM6066115 Vaccination, No prior infection
#> GSM6066116 Vaccination, No prior infection
#> GSM6066117 Vaccination, No prior infection
#> GSM6066118 No vaccination, No prior infection
#> GSM6066119 No vaccination, No prior infection
#> GSM6066120 No vaccination, No prior infection
#> GSM6066121 No vaccination, No prior infection
#> GSM6066122 No vaccination, No prior infection
#> GSM6066123 No vaccination, No prior infection
#> GSM6066124 No vaccination, No prior infection
#> GSM6066125 No vaccination, No prior infection
#> GSM6066126 No vaccination, No prior infection
#> GSM6066127 No vaccination, No prior infection
#> GSM6066128 No vaccination, Prior infection
#> GSM6066129 No vaccination, Prior infection
#> GSM6066130 No vaccination, No prior infection
#> GSM6066131 No vaccination, Prior infection
#> GSM6066132 No vaccination, Prior infection
#> GSM6066133 No vaccination, No prior infection
#> GSM6066134 No vaccination, No prior infection
#> GSM6066135 No vaccination, No prior infection
#> GSM6066136 No vaccination, Prior infection
#> GSM6066137 Vaccination, Prior infection
#> GSM6066138 No vaccination, No prior infection
#> GSM6066139 No vaccination, No prior infection
#> GSM6066140 Vaccination, No prior infection
#> GSM6066141 No vaccination, No prior infection
#> GSM6066142 No vaccination, No prior infection
#> GSM6066143 No vaccination, No prior infection
#> GSM6066144 No vaccination, Prior infection
#> ch1_omicron sublineage ch1_days after positive pcr results
#> GSM6066090 -- --
#> GSM6066091 -- --
#> GSM6066092 -- --
#> GSM6066093 -- --
#> GSM6066094 -- --
#> GSM6066095 -- --
#> GSM6066096 -- --
#> GSM6066097 -- --
#> GSM6066098 BA.1 day 0
#> GSM6066099 BA.1 day 0
#> GSM6066100 BA.1 day 0
#> GSM6066101 BA.1 day 0
#> GSM6066102 BA.1 day 0
#> GSM6066103 BA.1 day 0
#> GSM6066104 BA.1 day 0
#> GSM6066105 BA.1 day 2
#> GSM6066106 BA.1 day 3
#> GSM6066107 BA.1 day 0
#> GSM6066108 BA.1 day 0
#> GSM6066109 BA.1 day 3
#> GSM6066110 BA.1 day 2
#> GSM6066111 BA.1 day 2
#> GSM6066112 BA.1 day 3
#> GSM6066113 BA.1 day 2
#> GSM6066114 BA.1 day 1
#> GSM6066115 BA.1 day 2
#> GSM6066116 BA.1 day 2
#> GSM6066117 BA.1 day 1
#> GSM6066118 BA.1 day 2
#> GSM6066119 BA.1 day 2
#> GSM6066120 BA.1 day 0
#> GSM6066121 BA.1 day 2
#> GSM6066122 BA.1 day 3
#> GSM6066123 BA.1 day 4
#> GSM6066124 BA.1 day 1
#> GSM6066125 BA.1 day 1
#> GSM6066126 BA.1 day 2
#> GSM6066127 BA.1 day 0
#> GSM6066128 BA.1 day 5
#> GSM6066129 BA.1 day 5
#> GSM6066130 BA.1 day 4
#> GSM6066131 BA.1 day 3
#> GSM6066132 BA.1 day 0
#> GSM6066133 BA.1 day 1
#> GSM6066134 BA.1 day 0
#> GSM6066135 BA.1 day 2
#> GSM6066136 BA.1 day 1
#> GSM6066137 BA.1 day 5
#> GSM6066138 BA.1 day 2
#> GSM6066139 BA.1 day 2
#> GSM6066140 BA.1 day 1
#> GSM6066141 BA.1 day 0
#> GSM6066142 BA.1 day 3
#> GSM6066143 BA.1 day 3
#> GSM6066144 BA.1 day 2
#> ch1_disease state ch1_geographical location ch1_cell type
#> GSM6066090 Healthy control Austria PBMC
#> GSM6066091 Healthy control Austria PBMC
#> GSM6066092 Healthy control Austria PBMC
#> GSM6066093 Healthy control Austria PBMC
#> GSM6066094 Healthy control Austria PBMC
#> GSM6066095 Healthy control Austria PBMC
#> GSM6066096 Healthy control Austria PBMC
#> GSM6066097 Healthy control Austria PBMC
#> GSM6066098 COVID-19_Omicron Austria PBMC
#> GSM6066099 COVID-19_Omicron Austria PBMC
#> GSM6066100 COVID-19_Omicron Austria PBMC
#> GSM6066101 COVID-19_Omicron Austria PBMC
#> GSM6066102 COVID-19_Omicron Austria PBMC
#> GSM6066103 COVID-19_Omicron Austria PBMC
#> GSM6066104 COVID-19_Omicron Austria PBMC
#> GSM6066105 COVID-19_Omicron Austria PBMC
#> GSM6066106 COVID-19_Omicron Austria PBMC
#> GSM6066107 COVID-19_Omicron Austria PBMC
#> GSM6066108 COVID-19_Omicron Austria PBMC
#> GSM6066109 COVID-19_Omicron Austria PBMC
#> GSM6066110 COVID-19_Omicron Austria PBMC
#> GSM6066111 COVID-19_Omicron Austria PBMC
#> GSM6066112 COVID-19_Omicron Austria PBMC
#> GSM6066113 COVID-19_Omicron Austria PBMC
#> GSM6066114 COVID-19_Omicron Austria PBMC
#> GSM6066115 COVID-19_Omicron Austria PBMC
#> GSM6066116 COVID-19_Omicron Austria PBMC
#> GSM6066117 COVID-19_Omicron Austria PBMC
#> GSM6066118 COVID-19_Omicron Austria PBMC
#> GSM6066119 COVID-19_Omicron Austria PBMC
#> GSM6066120 COVID-19_Omicron Austria PBMC
#> GSM6066121 COVID-19_Omicron Austria PBMC
#> GSM6066122 COVID-19_Omicron Austria PBMC
#> GSM6066123 COVID-19_Omicron Austria PBMC
#> GSM6066124 COVID-19_Omicron Austria PBMC
#> GSM6066125 COVID-19_Omicron Austria PBMC
#> GSM6066126 COVID-19_Omicron Austria PBMC
#> GSM6066127 COVID-19_Omicron Austria PBMC
#> GSM6066128 COVID-19_Omicron Austria PBMC
#> GSM6066129 COVID-19_Omicron Austria PBMC
#> GSM6066130 COVID-19_Omicron Austria PBMC
#> GSM6066131 COVID-19_Omicron Austria PBMC
#> GSM6066132 COVID-19_Omicron Austria PBMC
#> GSM6066133 COVID-19_Omicron Austria PBMC
#> GSM6066134 COVID-19_Omicron Austria PBMC
#> GSM6066135 COVID-19_Omicron Austria PBMC
#> GSM6066136 COVID-19_Omicron Austria PBMC
#> GSM6066137 COVID-19_Omicron Austria PBMC
#> GSM6066138 COVID-19_Omicron Austria PBMC
#> GSM6066139 COVID-19_Omicron Austria PBMC
#> GSM6066140 COVID-19_Omicron Austria PBMC
#> GSM6066141 COVID-19_Omicron Austria PBMC
#> GSM6066142 COVID-19_Omicron Austria PBMC
#> GSM6066143 COVID-19_Omicron Austria PBMC
#> GSM6066144 COVID-19_Omicron Austria PBMC
#> characteristics_ch1
#> GSM6066090 gender: Male; age: 58; group (by covid-19 vaccination, prior infection): Healthy control; omicron sublineage: --; days after positive pcr results: --; disease state: Healthy control; geographical location: Austria; cell type: PBMC
#> GSM6066091 gender: Female; age: 56; group (by covid-19 vaccination, prior infection): Healthy control; omicron sublineage: --; days after positive pcr results: --; disease state: Healthy control; geographical location: Austria; cell type: PBMC
#> GSM6066092 gender: Female; age: 37; group (by covid-19 vaccination, prior infection): Healthy control; omicron sublineage: --; days after positive pcr results: --; disease state: Healthy control; geographical location: Austria; cell type: PBMC
#> GSM6066093 gender: Female; age: 19; group (by covid-19 vaccination, prior infection): Healthy control; omicron sublineage: --; days after positive pcr results: --; disease state: Healthy control; geographical location: Austria; cell type: PBMC
#> GSM6066094 gender: Female; age: 31; group (by covid-19 vaccination, prior infection): Healthy control; omicron sublineage: --; days after positive pcr results: --; disease state: Healthy control; geographical location: Austria; cell type: PBMC
#> GSM6066095 gender: Male; age: 36; group (by covid-19 vaccination, prior infection): Healthy control; omicron sublineage: --; days after positive pcr results: --; disease state: Healthy control; geographical location: Austria; cell type: PBMC
#> GSM6066096 gender: Female; age: 21; group (by covid-19 vaccination, prior infection): Healthy control; omicron sublineage: --; days after positive pcr results: --; disease state: Healthy control; geographical location: Austria; cell type: PBMC
#> GSM6066097 gender: Female; age: 23; group (by covid-19 vaccination, prior infection): Healthy control; omicron sublineage: --; days after positive pcr results: --; disease state: Healthy control; geographical location: Austria; cell type: PBMC
#> GSM6066098 gender: Male; age: 50; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066099 gender: Male; age: 36; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066100 gender: Female; age: 30; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066101 gender: Female; age: 17; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066102 gender: Male; age: 20; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066103 gender: Male; age: 57; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066104 gender: Male; age: 30; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066105 gender: Female; age: 21; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066106 gender: Male; age: 23; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 3; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066107 gender: Female; age: 27; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066108 gender: Female; age: 80; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066109 gender: Female; age: 38; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 3; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066110 gender: Male; age: 39; group (by covid-19 vaccination, prior infection): No vaccination, Prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066111 gender: Female; age: 29; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066112 gender: Female; age: 55; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 3; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066113 gender: Male; age: 26; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066114 gender: Male; age: 83; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 1; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066115 gender: Female; age: 23; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066116 gender: Female; age: 20; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066117 gender: Male; age: 82; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 1; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066118 gender: Female; age: 51; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066119 gender: Male; age: 54; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066120 gender: Female; age: 83; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066121 gender: Female; age: 32; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066122 gender: Male; age: 36; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 3; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066123 gender: Female; age: 30; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 4; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066124 gender: Female; age: 28; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 1; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066125 gender: Male; age: 29; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 1; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066126 gender: Male; age: 61; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066127 gender: Female; age: 59; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066128 gender: Female; age: 54; group (by covid-19 vaccination, prior infection): No vaccination, Prior infection; omicron sublineage: BA.1; days after positive pcr results: day 5; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066129 gender: Male; age: 63; group (by covid-19 vaccination, prior infection): No vaccination, Prior infection; omicron sublineage: BA.1; days after positive pcr results: day 5; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066130 gender: Female; age: 62; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 4; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066131 gender: Male; age: 26; group (by covid-19 vaccination, prior infection): No vaccination, Prior infection; omicron sublineage: BA.1; days after positive pcr results: day 3; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066132 gender: Female; age: 24; group (by covid-19 vaccination, prior infection): No vaccination, Prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066133 gender: Female; age: 32; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 1; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066134 gender: Female; age: 35; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066135 gender: Female; age: 38; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066136 gender: Female; age: 37; group (by covid-19 vaccination, prior infection): No vaccination, Prior infection; omicron sublineage: BA.1; days after positive pcr results: day 1; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066137 gender: Female; age: 24; group (by covid-19 vaccination, prior infection): Vaccination, Prior infection; omicron sublineage: BA.1; days after positive pcr results: day 5; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066138 gender: Female; age: 40; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066139 gender: Female; age: 61; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066140 gender: Female; age: 42; group (by covid-19 vaccination, prior infection): Vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 1; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066141 gender: Female; age: 39; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 0; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066142 gender: Female; age: 39; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 3; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066143 gender: Female; age: 40; group (by covid-19 vaccination, prior infection): No vaccination, No prior infection; omicron sublineage: BA.1; days after positive pcr results: day 3; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> GSM6066144 gender: Male; age: 28; group (by covid-19 vaccination, prior infection): No vaccination, Prior infection; omicron sublineage: BA.1; days after positive pcr results: day 2; disease state: COVID-19_Omicron; geographical location: Austria; cell type: PBMC
#> contact_address contact_city contact_country
#> GSM6066090 8 CENTER DR RM 107 Bethesda USA
#> GSM6066091 8 CENTER DR RM 107 Bethesda USA
#> GSM6066092 8 CENTER DR RM 107 Bethesda USA
#> GSM6066093 8 CENTER DR RM 107 Bethesda USA
#> GSM6066094 8 CENTER DR RM 107 Bethesda USA
#> GSM6066095 8 CENTER DR RM 107 Bethesda USA
#> GSM6066096 8 CENTER DR RM 107 Bethesda USA
#> GSM6066097 8 CENTER DR RM 107 Bethesda USA
#> GSM6066098 8 CENTER DR RM 107 Bethesda USA
#> GSM6066099 8 CENTER DR RM 107 Bethesda USA
#> GSM6066100 8 CENTER DR RM 107 Bethesda USA
#> GSM6066101 8 CENTER DR RM 107 Bethesda USA
#> GSM6066102 8 CENTER DR RM 107 Bethesda USA
#> GSM6066103 8 CENTER DR RM 107 Bethesda USA
#> GSM6066104 8 CENTER DR RM 107 Bethesda USA
#> GSM6066105 8 CENTER DR RM 107 Bethesda USA
#> GSM6066106 8 CENTER DR RM 107 Bethesda USA
#> GSM6066107 8 CENTER DR RM 107 Bethesda USA
#> GSM6066108 8 CENTER DR RM 107 Bethesda USA
#> GSM6066109 8 CENTER DR RM 107 Bethesda USA
#> GSM6066110 8 CENTER DR RM 107 Bethesda USA
#> GSM6066111 8 CENTER DR RM 107 Bethesda USA
#> GSM6066112 8 CENTER DR RM 107 Bethesda USA
#> GSM6066113 8 CENTER DR RM 107 Bethesda USA
#> GSM6066114 8 CENTER DR RM 107 Bethesda USA
#> GSM6066115 8 CENTER DR RM 107 Bethesda USA
#> GSM6066116 8 CENTER DR RM 107 Bethesda USA
#> GSM6066117 8 CENTER DR RM 107 Bethesda USA
#> GSM6066118 8 CENTER DR RM 107 Bethesda USA
#> GSM6066119 8 CENTER DR RM 107 Bethesda USA
#> GSM6066120 8 CENTER DR RM 107 Bethesda USA
#> GSM6066121 8 CENTER DR RM 107 Bethesda USA
#> GSM6066122 8 CENTER DR RM 107 Bethesda USA
#> GSM6066123 8 CENTER DR RM 107 Bethesda USA
#> GSM6066124 8 CENTER DR RM 107 Bethesda USA
#> GSM6066125 8 CENTER DR RM 107 Bethesda USA
#> GSM6066126 8 CENTER DR RM 107 Bethesda USA
#> GSM6066127 8 CENTER DR RM 107 Bethesda USA
#> GSM6066128 8 CENTER DR RM 107 Bethesda USA
#> GSM6066129 8 CENTER DR RM 107 Bethesda USA
#> GSM6066130 8 CENTER DR RM 107 Bethesda USA
#> GSM6066131 8 CENTER DR RM 107 Bethesda USA
#> GSM6066132 8 CENTER DR RM 107 Bethesda USA
#> GSM6066133 8 CENTER DR RM 107 Bethesda USA
#> GSM6066134 8 CENTER DR RM 107 Bethesda USA
#> GSM6066135 8 CENTER DR RM 107 Bethesda USA
#> GSM6066136 8 CENTER DR RM 107 Bethesda USA
#> GSM6066137 8 CENTER DR RM 107 Bethesda USA
#> GSM6066138 8 CENTER DR RM 107 Bethesda USA
#> GSM6066139 8 CENTER DR RM 107 Bethesda USA
#> GSM6066140 8 CENTER DR RM 107 Bethesda USA
#> GSM6066141 8 CENTER DR RM 107 Bethesda USA
#> GSM6066142 8 CENTER DR RM 107 Bethesda USA
#> GSM6066143 8 CENTER DR RM 107 Bethesda USA
#> GSM6066144 8 CENTER DR RM 107 Bethesda USA
#> contact_department
#> GSM6066090 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066091 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066092 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066093 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066094 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066095 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066096 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066097 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066098 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066099 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066100 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066101 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066102 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066103 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066104 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066105 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066106 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066107 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066108 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066109 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066110 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066111 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066112 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066113 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066114 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066115 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066116 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066117 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066118 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066119 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066120 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066121 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066122 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066123 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066124 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066125 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066126 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066127 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066128 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066129 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066130 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066131 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066132 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066133 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066134 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066135 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066136 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066137 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066138 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066139 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066140 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066141 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066142 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066143 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> GSM6066144 National Institute of Diabetes and Digestive and Kidney (NIDDK)
#> contact_email contact_institute
#> GSM6066090 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066091 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066092 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066093 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066094 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066095 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066096 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066097 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066098 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066099 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066100 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066101 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066102 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066103 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066104 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066105 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066106 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066107 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066108 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066109 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066110 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066111 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066112 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066113 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066114 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066115 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066116 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066117 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066118 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066119 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066120 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066121 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066122 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066123 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066124 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066125 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066126 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066127 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066128 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066129 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066130 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066131 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066132 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066133 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066134 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066135 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066136 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066137 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066138 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066139 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066140 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066141 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066142 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066143 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> GSM6066144 hyekyung.lee@nih.gov National Institutes of Health (NIH)
#> contact_laboratory contact_name contact_phone
#> GSM6066090 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066091 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066092 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066093 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066094 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066095 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066096 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066097 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066098 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066099 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066100 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066101 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066102 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066103 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066104 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066105 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066106 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066107 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066108 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066109 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066110 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066111 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066112 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066113 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066114 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066115 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066116 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066117 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066118 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066119 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066120 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066121 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066122 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066123 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066124 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066125 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066126 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066127 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066128 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066129 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066130 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066131 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066132 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066133 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066134 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066135 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066136 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066137 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066138 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066139 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066140 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066141 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066142 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066143 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> GSM6066144 Laboratory of Genetics and Physiology Hye Kyung,,Lee 301-435-6635
#> contact_state contact_zip/postal_code
#> GSM6066090 MD 20892
#> GSM6066091 MD 20892
#> GSM6066092 MD 20892
#> GSM6066093 MD 20892
#> GSM6066094 MD 20892
#> GSM6066095 MD 20892
#> GSM6066096 MD 20892
#> GSM6066097 MD 20892
#> GSM6066098 MD 20892
#> GSM6066099 MD 20892
#> GSM6066100 MD 20892
#> GSM6066101 MD 20892
#> GSM6066102 MD 20892
#> GSM6066103 MD 20892
#> GSM6066104 MD 20892
#> GSM6066105 MD 20892
#> GSM6066106 MD 20892
#> GSM6066107 MD 20892
#> GSM6066108 MD 20892
#> GSM6066109 MD 20892
#> GSM6066110 MD 20892
#> GSM6066111 MD 20892
#> GSM6066112 MD 20892
#> GSM6066113 MD 20892
#> GSM6066114 MD 20892
#> GSM6066115 MD 20892
#> GSM6066116 MD 20892
#> GSM6066117 MD 20892
#> GSM6066118 MD 20892
#> GSM6066119 MD 20892
#> GSM6066120 MD 20892
#> GSM6066121 MD 20892
#> GSM6066122 MD 20892
#> GSM6066123 MD 20892
#> GSM6066124 MD 20892
#> GSM6066125 MD 20892
#> GSM6066126 MD 20892
#> GSM6066127 MD 20892
#> GSM6066128 MD 20892
#> GSM6066129 MD 20892
#> GSM6066130 MD 20892
#> GSM6066131 MD 20892
#> GSM6066132 MD 20892
#> GSM6066133 MD 20892
#> GSM6066134 MD 20892
#> GSM6066135 MD 20892
#> GSM6066136 MD 20892
#> GSM6066137 MD 20892
#> GSM6066138 MD 20892
#> GSM6066139 MD 20892
#> GSM6066140 MD 20892
#> GSM6066141 MD 20892
#> GSM6066142 MD 20892
#> GSM6066143 MD 20892
#> GSM6066144 MD 20892
#> data_processing
#> GSM6066090 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066091 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066092 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066093 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066094 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066095 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066096 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066097 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066098 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066099 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066100 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066101 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066102 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066103 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066104 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066105 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066106 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066107 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066108 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066109 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066110 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066111 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066112 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066113 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066114 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066115 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066116 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066117 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066118 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066119 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066120 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066121 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066122 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066123 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066124 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066125 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066126 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066127 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066128 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066129 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066130 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066131 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066132 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066133 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066134 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066135 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066136 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066137 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066138 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066139 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066140 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066141 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066142 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066143 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> GSM6066144 RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.; Trimmed RNA-seq data were aligned to the human V, D and J genes and obtained immune clonotypes using MiXCR (Bolotin et al., Nat Methods, 2015; Bolotin et al., Nat Biotechnol, 2017).; Assembly: hg19; Supplementary files format and content: HTSeq counts from RNA-seq samples
#> data_row_count
#> GSM6066090 0
#> GSM6066091 0
#> GSM6066092 0
#> GSM6066093 0
#> GSM6066094 0
#> GSM6066095 0
#> GSM6066096 0
#> GSM6066097 0
#> GSM6066098 0
#> GSM6066099 0
#> GSM6066100 0
#> GSM6066101 0
#> GSM6066102 0
#> GSM6066103 0
#> GSM6066104 0
#> GSM6066105 0
#> GSM6066106 0
#> GSM6066107 0
#> GSM6066108 0
#> GSM6066109 0
#> GSM6066110 0
#> GSM6066111 0
#> GSM6066112 0
#> GSM6066113 0
#> GSM6066114 0
#> GSM6066115 0
#> GSM6066116 0
#> GSM6066117 0
#> GSM6066118 0
#> GSM6066119 0
#> GSM6066120 0
#> GSM6066121 0
#> GSM6066122 0
#> GSM6066123 0
#> GSM6066124 0
#> GSM6066125 0
#> GSM6066126 0
#> GSM6066127 0
#> GSM6066128 0
#> GSM6066129 0
#> GSM6066130 0
#> GSM6066131 0
#> GSM6066132 0
#> GSM6066133 0
#> GSM6066134 0
#> GSM6066135 0
#> GSM6066136 0
#> GSM6066137 0
#> GSM6066138 0
#> GSM6066139 0
#> GSM6066140 0
#> GSM6066141 0
#> GSM6066142 0
#> GSM6066143 0
#> GSM6066144 <NA>
#> extract_protocol_ch1
#> GSM6066090 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066091 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066092 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066093 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066094 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066095 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066096 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066097 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066098 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066099 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066100 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066101 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066102 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066103 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066104 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066105 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066106 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066107 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066108 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066109 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066110 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066111 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066112 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066113 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066114 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066115 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066116 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066117 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066118 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066119 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066120 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066121 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066122 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066123 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066124 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066125 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066126 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066127 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066128 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066129 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066130 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066131 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066132 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066133 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066134 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066135 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066136 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066137 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066138 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066139 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066140 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066141 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066142 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066143 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> GSM6066144 The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.; Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.
#> geo_accession
#> GSM6066090 GSM6066090
#> GSM6066091 GSM6066091
#> GSM6066092 GSM6066092
#> GSM6066093 GSM6066093
#> GSM6066094 GSM6066094
#> GSM6066095 GSM6066095
#> GSM6066096 GSM6066096
#> GSM6066097 GSM6066097
#> GSM6066098 GSM6066098
#> GSM6066099 GSM6066099
#> GSM6066100 GSM6066100
#> GSM6066101 GSM6066101
#> GSM6066102 GSM6066102
#> GSM6066103 GSM6066103
#> GSM6066104 GSM6066104
#> GSM6066105 GSM6066105
#> GSM6066106 GSM6066106
#> GSM6066107 GSM6066107
#> GSM6066108 GSM6066108
#> GSM6066109 GSM6066109
#> GSM6066110 GSM6066110
#> GSM6066111 GSM6066111
#> GSM6066112 GSM6066112
#> GSM6066113 GSM6066113
#> GSM6066114 GSM6066114
#> GSM6066115 GSM6066115
#> GSM6066116 GSM6066116
#> GSM6066117 GSM6066117
#> GSM6066118 GSM6066118
#> GSM6066119 GSM6066119
#> GSM6066120 GSM6066120
#> GSM6066121 GSM6066121
#> GSM6066122 GSM6066122
#> GSM6066123 GSM6066123
#> GSM6066124 GSM6066124
#> GSM6066125 GSM6066125
#> GSM6066126 GSM6066126
#> GSM6066127 GSM6066127
#> GSM6066128 GSM6066128
#> GSM6066129 GSM6066129
#> GSM6066130 GSM6066130
#> GSM6066131 GSM6066131
#> GSM6066132 GSM6066132
#> GSM6066133 GSM6066133
#> GSM6066134 GSM6066134
#> GSM6066135 GSM6066135
#> GSM6066136 GSM6066136
#> GSM6066137 GSM6066137
#> GSM6066138 GSM6066138
#> GSM6066139 GSM6066139
#> GSM6066140 GSM6066140
#> GSM6066141 GSM6066141
#> GSM6066142 GSM6066142
#> GSM6066143 GSM6066143
#> GSM6066144 GSM6066144
#> growth_protocol_ch1
#> GSM6066090 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066091 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066092 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066093 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066094 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066095 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066096 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066097 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066098 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066099 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066100 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066101 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066102 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066103 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066104 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066105 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066106 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066107 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066108 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066109 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066110 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066111 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066112 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066113 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066114 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066115 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066116 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066117 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066118 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066119 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066120 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066121 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066122 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066123 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066124 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066125 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066126 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066127 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066128 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066129 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066130 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066131 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066132 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066133 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066134 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066135 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066136 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066137 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066138 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066139 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066140 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066141 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066142 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066143 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> GSM6066144 Blood samples were collected from the COVID-19 patients infected by Omicron varient.
#> instrument_model last_update_date library_selection
#> GSM6066090 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066091 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066092 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066093 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066094 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066095 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066096 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066097 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066098 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066099 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066100 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066101 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066102 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066103 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066104 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066105 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066106 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066107 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066108 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066109 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066110 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066111 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066112 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066113 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066114 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066115 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066116 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066117 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066118 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066119 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066120 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066121 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066122 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066123 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066124 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066125 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066126 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066127 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066128 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066129 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066130 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066131 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066132 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066133 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066134 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066135 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066136 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066137 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066138 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066139 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066140 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066141 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066142 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066143 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> GSM6066144 Illumina NovaSeq 6000 Jun 11 2022 cDNA
#> library_source library_strategy molecule_ch1 organism_ch1
#> GSM6066090 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066091 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066092 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066093 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066094 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066095 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066096 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066097 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066098 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066099 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066100 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066101 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066102 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066103 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066104 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066105 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066106 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066107 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066108 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066109 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066110 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066111 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066112 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066113 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066114 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066115 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066116 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066117 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066118 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066119 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066120 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066121 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066122 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066123 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066124 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066125 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066126 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066127 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066128 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066129 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066130 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066131 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066132 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066133 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066134 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066135 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066136 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066137 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066138 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066139 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066140 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066141 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066142 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066143 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> GSM6066144 transcriptomic RNA-Seq polyA RNA Homo sapiens
#> platform_id
#> GSM6066090 GPL24676
#> GSM6066091 GPL24676
#> GSM6066092 GPL24676
#> GSM6066093 GPL24676
#> GSM6066094 GPL24676
#> GSM6066095 GPL24676
#> GSM6066096 GPL24676
#> GSM6066097 GPL24676
#> GSM6066098 GPL24676
#> GSM6066099 GPL24676
#> GSM6066100 GPL24676
#> GSM6066101 GPL24676
#> GSM6066102 GPL24676
#> GSM6066103 GPL24676
#> GSM6066104 GPL24676
#> GSM6066105 GPL24676
#> GSM6066106 GPL24676
#> GSM6066107 GPL24676
#> GSM6066108 GPL24676
#> GSM6066109 GPL24676
#> GSM6066110 GPL24676
#> GSM6066111 GPL24676
#> GSM6066112 GPL24676
#> GSM6066113 GPL24676
#> GSM6066114 GPL24676
#> GSM6066115 GPL24676
#> GSM6066116 GPL24676
#> GSM6066117 GPL24676
#> GSM6066118 GPL24676
#> GSM6066119 GPL24676
#> GSM6066120 GPL24676
#> GSM6066121 GPL24676
#> GSM6066122 GPL24676
#> GSM6066123 GPL24676
#> GSM6066124 GPL24676
#> GSM6066125 GPL24676
#> GSM6066126 GPL24676
#> GSM6066127 GPL24676
#> GSM6066128 GPL24676
#> GSM6066129 GPL24676
#> GSM6066130 GPL24676
#> GSM6066131 GPL24676
#> GSM6066132 GPL24676
#> GSM6066133 GPL24676
#> GSM6066134 GPL24676
#> GSM6066135 GPL24676
#> GSM6066136 GPL24676
#> GSM6066137 GPL24676
#> GSM6066138 GPL24676
#> GSM6066139 GPL24676
#> GSM6066140 GPL24676
#> GSM6066141 GPL24676
#> GSM6066142 GPL24676
#> GSM6066143 GPL24676
#> GSM6066144 GPL24676
#> relation
#> GSM6066090 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779606; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000698
#> GSM6066091 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779605; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000699
#> GSM6066092 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779604; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000700
#> GSM6066093 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779603; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000701
#> GSM6066094 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779602; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000702
#> GSM6066095 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779601; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000703
#> GSM6066096 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779600; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000704
#> GSM6066097 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779599; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000705
#> GSM6066098 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779598; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000706
#> GSM6066099 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779597; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000707
#> GSM6066100 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779596; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000708
#> GSM6066101 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779595; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000709
#> GSM6066102 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779594; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000710
#> GSM6066103 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779593; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000711
#> GSM6066104 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779592; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000712
#> GSM6066105 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779591; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000713
#> GSM6066106 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779590; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000714
#> GSM6066107 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779589; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000715
#> GSM6066108 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779588; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000716
#> GSM6066109 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779587; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000717
#> GSM6066110 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779586; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000718
#> GSM6066111 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779585; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000719
#> GSM6066112 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779584; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000720
#> GSM6066113 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779583; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000721
#> GSM6066114 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779582; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000722
#> GSM6066115 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779581; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000723
#> GSM6066116 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779580; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000724
#> GSM6066117 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779579; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000725
#> GSM6066118 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779578; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000726
#> GSM6066119 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779577; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000727
#> GSM6066120 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779576; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000728
#> GSM6066121 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779575; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000729
#> GSM6066122 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779574; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000730
#> GSM6066123 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779573; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000731
#> GSM6066124 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779572; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000732
#> GSM6066125 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779571; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000733
#> GSM6066126 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779570; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000734
#> GSM6066127 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779569; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000735
#> GSM6066128 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779568; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000736
#> GSM6066129 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779567; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000737
#> GSM6066130 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779566; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000738
#> GSM6066131 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779565; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000739
#> GSM6066132 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779564; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000740
#> GSM6066133 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779563; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000741
#> GSM6066134 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779562; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000742
#> GSM6066135 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779561; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000743
#> GSM6066136 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779560; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000744
#> GSM6066137 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779559; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000745
#> GSM6066138 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779558; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000746
#> GSM6066139 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779557; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000747
#> GSM6066140 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779556; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000748
#> GSM6066141 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779555; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000749
#> GSM6066142 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779554; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000750
#> GSM6066143 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779553; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000751
#> GSM6066144 BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN27779552; SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX15000752
#> series_id source_name_ch1 status submission_date
#> GSM6066090 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066091 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066092 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066093 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066094 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066095 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066096 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066097 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066098 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066099 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066100 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066101 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066102 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066103 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066104 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066105 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066106 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066107 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066108 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066109 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066110 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066111 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066112 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066113 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066114 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066115 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066116 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066117 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066118 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066119 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066120 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066121 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066122 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066123 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066124 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066125 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066126 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066127 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066128 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066129 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066130 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066131 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066132 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066133 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066134 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066135 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066136 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066137 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066138 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066139 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066140 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066141 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066142 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066143 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> GSM6066144 GSE201530 PBMCs Public on Jun 11 2022 Apr 26 2022
#> supplementary_file_1
#> GSM6066090 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066090/suppl/GSM6066090_Naive_17_Day0.txt.gz
#> GSM6066091 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066091/suppl/GSM6066091_Naive_18_Day0.txt.gz
#> GSM6066092 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066092/suppl/GSM6066092_Naive_24_Day0.txt.gz
#> GSM6066093 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066093/suppl/GSM6066093_Naive_26_Day0.txt.gz
#> GSM6066094 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066094/suppl/GSM6066094_Naive_27_Day0.txt.gz
#> GSM6066095 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066095/suppl/GSM6066095_Naive_28_Day0.txt.gz
#> GSM6066096 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066096/suppl/GSM6066096_Naive_29_Day0.txt.gz
#> GSM6066097 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066097/suppl/GSM6066097_Naive_30_Day0.txt.gz
#> GSM6066098 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066098/suppl/GSM6066098_Omicron_1_1st.txt.gz
#> GSM6066099 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066099/suppl/GSM6066099_Omicron_2_1st.txt.gz
#> GSM6066100 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066100/suppl/GSM6066100_Omicron_3_1st.txt.gz
#> GSM6066101 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066101/suppl/GSM6066101_Omicron_4_1st.txt.gz
#> GSM6066102 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066102/suppl/GSM6066102_Omicron_5_1st.txt.gz
#> GSM6066103 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066103/suppl/GSM6066103_Omicron_6_1st.txt.gz
#> GSM6066104 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066104/suppl/GSM6066104_Omicron_7_1st.txt.gz
#> GSM6066105 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066105/suppl/GSM6066105_Omicron_8_1st.txt.gz
#> GSM6066106 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066106/suppl/GSM6066106_Omicron_9_1st.txt.gz
#> GSM6066107 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066107/suppl/GSM6066107_Omicron_10_1st.txt.gz
#> GSM6066108 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066108/suppl/GSM6066108_Omicron_11_1st.txt.gz
#> GSM6066109 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066109/suppl/GSM6066109_Omicron_12_1st.txt.gz
#> GSM6066110 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066110/suppl/GSM6066110_Omicron_13_1st.txt.gz
#> GSM6066111 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066111/suppl/GSM6066111_Omicron_14_1st.txt.gz
#> GSM6066112 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066112/suppl/GSM6066112_Omicron_15_1st.txt.gz
#> GSM6066113 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066113/suppl/GSM6066113_Omicron_16_1st.txt.gz
#> GSM6066114 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066114/suppl/GSM6066114_Omicron_17_1st.txt.gz
#> GSM6066115 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066115/suppl/GSM6066115_Omicron_18_1st.txt.gz
#> GSM6066116 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066116/suppl/GSM6066116_Omicron_19_1st.txt.gz
#> GSM6066117 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066117/suppl/GSM6066117_Omicron_20_1st.txt.gz
#> GSM6066118 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066118/suppl/GSM6066118_Omicron_24_1st.txt.gz
#> GSM6066119 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066119/suppl/GSM6066119_Omicron_25_1st.txt.gz
#> GSM6066120 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066120/suppl/GSM6066120_Omicron_26_1st.txt.gz
#> GSM6066121 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066121/suppl/GSM6066121_Omicron_27_1st.txt.gz
#> GSM6066122 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066122/suppl/GSM6066122_Omicron_28_1st.txt.gz
#> GSM6066123 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066123/suppl/GSM6066123_Omicron_29_1st.txt.gz
#> GSM6066124 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066124/suppl/GSM6066124_Omicron_30_1st.txt.gz
#> GSM6066125 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066125/suppl/GSM6066125_Omicron_31_1st.txt.gz
#> GSM6066126 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066126/suppl/GSM6066126_Omicron_33_1st.txt.gz
#> GSM6066127 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066127/suppl/GSM6066127_Omicron_34_1st.txt.gz
#> GSM6066128 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066128/suppl/GSM6066128_Omicron_35_1st.txt.gz
#> GSM6066129 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066129/suppl/GSM6066129_Omicron_37_1st.txt.gz
#> GSM6066130 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066130/suppl/GSM6066130_Omicron_38_1st.txt.gz
#> GSM6066131 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066131/suppl/GSM6066131_Omicron_42_1st.txt.gz
#> GSM6066132 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066132/suppl/GSM6066132_Omicron_43_1st.txt.gz
#> GSM6066133 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066133/suppl/GSM6066133_Omicron_48_1st.txt.gz
#> GSM6066134 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066134/suppl/GSM6066134_Omicron_49_1st.txt.gz
#> GSM6066135 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066135/suppl/GSM6066135_Omicron_50_1st.txt.gz
#> GSM6066136 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066136/suppl/GSM6066136_Omicron_51_1st.txt.gz
#> GSM6066137 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066137/suppl/GSM6066137_Omicron_52_1st.txt.gz
#> GSM6066138 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066138/suppl/GSM6066138_Omicron_53_1st.txt.gz
#> GSM6066139 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066139/suppl/GSM6066139_Omicron_55_1st.txt.gz
#> GSM6066140 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066140/suppl/GSM6066140_Omicron_65_1st.txt.gz
#> GSM6066141 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066141/suppl/GSM6066141_Omicron_66_1st.txt.gz
#> GSM6066142 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066142/suppl/GSM6066142_Omicron_67_1st.txt.gz
#> GSM6066143 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066143/suppl/GSM6066143_Omicron_68_1st.txt.gz
#> GSM6066144 ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM6066nnn/GSM6066144/suppl/GSM6066144_Omicron_70_1st.txt.gz
#> taxid_ch1 title type
#> GSM6066090 9606 Naive_17_Day0 SRA
#> GSM6066091 9606 Naive_18_Day0 SRA
#> GSM6066092 9606 Naive_24_Day0 SRA
#> GSM6066093 9606 Naive_26_Day0 SRA
#> GSM6066094 9606 Naive_27_Day0 SRA
#> GSM6066095 9606 Naive_28_Day0 SRA
#> GSM6066096 9606 Naive_29_Day0 SRA
#> GSM6066097 9606 Naive_30_Day0 SRA
#> GSM6066098 9606 Omicron_1_1st SRA
#> GSM6066099 9606 Omicron_2_1st SRA
#> GSM6066100 9606 Omicron_3_1st SRA
#> GSM6066101 9606 Omicron_4_1st SRA
#> GSM6066102 9606 Omicron_5_1st SRA
#> GSM6066103 9606 Omicron_6_1st SRA
#> GSM6066104 9606 Omicron_7_1st SRA
#> GSM6066105 9606 Omicron_8_1st SRA
#> GSM6066106 9606 Omicron_9_1st SRA
#> GSM6066107 9606 Omicron_10_1st SRA
#> GSM6066108 9606 Omicron_11_1st SRA
#> GSM6066109 9606 Omicron_12_1st SRA
#> GSM6066110 9606 Omicron_13_1st SRA
#> GSM6066111 9606 Omicron_14_1st SRA
#> GSM6066112 9606 Omicron_15_1st SRA
#> GSM6066113 9606 Omicron_16_1st SRA
#> GSM6066114 9606 Omicron_17_1st SRA
#> GSM6066115 9606 Omicron_18_1st SRA
#> GSM6066116 9606 Omicron_19_1st SRA
#> GSM6066117 9606 Omicron_20_1st SRA
#> GSM6066118 9606 Omicron_24_1st SRA
#> GSM6066119 9606 Omicron_25_1st SRA
#> GSM6066120 9606 Omicron_26_1st SRA
#> GSM6066121 9606 Omicron_27_1st SRA
#> GSM6066122 9606 Omicron_28_1st SRA
#> GSM6066123 9606 Omicron_29_1st SRA
#> GSM6066124 9606 Omicron_30_1st SRA
#> GSM6066125 9606 Omicron_31_1st SRA
#> GSM6066126 9606 Omicron_33_1st SRA
#> GSM6066127 9606 Omicron_34_1st SRA
#> GSM6066128 9606 Omicron_35_1st SRA
#> GSM6066129 9606 Omicron_37_1st SRA
#> GSM6066130 9606 Omicron_38_1st SRA
#> GSM6066131 9606 Omicron_42_1st SRA
#> GSM6066132 9606 Omicron_43_1st SRA
#> GSM6066133 9606 Omicron_48_1st SRA
#> GSM6066134 9606 Omicron_49_1st SRA
#> GSM6066135 9606 Omicron_50_1st SRA
#> GSM6066136 9606 Omicron_51_1st SRA
#> GSM6066137 9606 Omicron_52_1st SRA
#> GSM6066138 9606 Omicron_53_1st SRA
#> GSM6066139 9606 Omicron_55_1st SRA
#> GSM6066140 9606 Omicron_65_1st SRA
#> GSM6066141 9606 Omicron_66_1st SRA
#> GSM6066142 9606 Omicron_67_1st SRA
#> GSM6066143 9606 Omicron_68_1st SRA
#> GSM6066144 9606 Omicron_70_1st SRA