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bioRxiv · 10.1101/2025.02.06.636847

ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity

Peng, Y.·Song, Y.·Luo, P.·Li, J.·Yu, G.·Xu, T.·Wang, S.
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Abstract

Composable visualization is essential in biomedical research, particularly when working with complex, multi-dimensional biological data. However, many existing tools focus on specific fields and lack the comprehensive features needed to capture the intricacies and interrelations of datasets. To address this, we introduce ggalign, an R package built on the grammar of graphics framework, providing an easy-to-use platform for creating composable visualizations of interconnected data. It offers a variety of layout options, including StackLayout, QuadLayout, and CircleLayout, tailored to different data types, and supports flexible multi-dimensional relationships, such as one-to-many, many-to-one, many-to-many, and crosswise connections. Additionally, ggalign enhances the clarity of visualizations through its annotation features. Overall, ggalign offers a powerful and flexible solution for visualizing complex data in biomedical research. O_FIG O_LINKSMALLFIG WIDTH=197 HEIGHT=200 SRC="FIGDIR/small/636847v1_ufig1.gif" ALT="Figure 1"> View larger version (92K): org.highwire.dtl.DTLVardef@d4bb97org.highwire.dtl.DTLVardef@67c236org.highwire.dtl.DTLVardef@1ff9cc6org.highwire.dtl.DTLVardef@8dc6a9_HPS_FORMAT_FIGEXP M_FIG C_FIG

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Peng, Y., Song, Y., Luo, P., Li, J., Yu, G., Xu, T., Wang, S.. 2025-02-07. ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity. https://doi.org/10.1101/2025.02.06.636847

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