A one-stop shop for quick, comprehensive gene annotations.
Below are links to projects I created and maintain or contributed to, professional or otherwise. Some may be under active development or only partially complete.
Projects to which I’ve contributed:
SingleR - A Bioconductor R package that attempts to do away with manual assignment of cell type in single cell RNA-seq data, SingleR uses sorted bulk RNA-seq reference sets to infer cell type on both an individual cell and cluster basis.
biopython - A vast suite of Python tools for computational biology and bioinformatics.
dittoSeq - An R package for color-blind friendly visualization of single-cell and bulk RNA-seq data. Dramatically improves typical scRNA-seq visualizations and has some new ones of its own.
ncaahoopR - An R package for working with NCAA basketball play by play data. Scrapes ESPN play by play data, box scores, and shot location data, providing a number of visualizations as well.