Software
I develop open-source tools for analyzing and visualizing cancer genomes and creating cancer vaccines GitHub.
Transcriptome Explorer
A web app for visualization of gene isoforms derived from long-read sequencing
fishplot
An R package for drawing "fish plots" that visualize changes in the clonal architecture of a tumor over time. BMC Genomics, 2016.
SciClone
An R package for inferring the clonal architecture of tumors, and tracking their evolution over time. PLoS Computational Biology, 2014.
pVACtools
A Computational Toolkit to Identify and Visualize Cancer Neoantigens. Cancer Immunol Res, 2020.
bam-readcount
Rapid generation of base-pair-resolution sequence metrics from BAM files. Journal of Open Source Software, 2022.
ReadDepth
A parallel R package for detecting copy-number alterations from short sequencing reads. PLoS ONE, 2011.
copyCat
A parallel R package for detecting somatic copy-number alterations from whole-genome sequencing data.
Contributions
Other tools I've contributed to:
- pVACview - neoantigen prediction and prioritization for personalized cancer vaccines.
- WashU Analysis workflows - End-to-end CWL workflows for turning genomic data into insight.
- ImmunoNX - a bioinformatics workflow to support personalized neoantigen vaccine trials.
- MGIbio Docker containers - Dozens of docker containers that make bioinformatics software available in the cloud
- Genome Modeling System - a knowledge-management platform for genomics.
- DGIdb - a drug/gene interaction database.
- VarScan 2 - somatic mutation and copy-number discovery from exome data.