ggalign: Bridging the Grammar of Graphics and Complex layout

Preface

Welcome to ggalign documents. Examples in the book are generated under version 1.0.2.9000.

As biomedical and multi-omics research generate increasingly complex and layered datasets, effective data visualization becomes essential for interpretation, communication, and discovery. Researchers often need to compare groups, track trends across samples, or highlight structures across various biological hierarchies — all of which demand precisely aligned plots.

However, arranging multiple plots in a consistent and interpretable layout remains a tedious task. Existing tools offer partial solutions but often lack the flexibility needed for nuanced biological visualizations.

ggalign is built to address these challenges. Based on the grammar of graphics from ggplot2, it simplifies the alignment of plots across samples, features, conditions, or clusters — helping you produce clean, publication-ready figures.

This guide introduces the key concepts and functions of ggalign through practical examples. Whether you’re visualizing gene expression patterns, comparing cell clusters, or organizing panels across experiments, ggalign helps you build structured and reproducible visual narratives from your data.

Thank you for choosing ggalign. We hope this book will inspire you to explore the endless possibilities that come with aligned data visualization.