ggvariant: Tidy, ggplot2-Native Visualization for Genomic Variants

A simple, opinionated toolkit for visualizing genomic variant data using a 'ggplot2'-native grammar. Accepts VCF files or plain data frames and produces lollipop plots, consequence summaries, mutational spectrum charts, and cohort-level comparisons as standard 'ggplot2' objects. Designed for both wet-lab biologists and experienced bioinformaticians.

References

Danecek P, Auton A, Abecasis G, et al.; 1000 Genomes Project Analysis Group (2011). The variant call format and VCFtools. Bioinformatics, 27(15), 2156-2158. doi:10.1093/bioinformatics/btr330

Alexandrov LB, Kim J, Haradhvala NJ, et al.; PCAWG Consortium (2020). The repertoire of mutational signatures in human cancer. Nature, 578(7793), 94-101. doi:10.1038/s41586-020-1943-3

See also

Useful links:

• https://github.com/josh45-source/ggvariant

• https://josh45-source.github.io/ggvariant/

• Report bugs at https://github.com/josh45-source/ggvariant/issues

Author

Maintainer: Joash Joshua Ayo joashjoshua789@gmail.com (ORCID)