Software

CIViC: Clinical Interpretations of Variants in Cancer

Description:

CIViC provides a knowledgebase and curation system for expert crowdsourcing the clinical interpretation of variants in cancer.

Team members:

Malachi Griffith, Nicholas Spies, Kilannin Krysiak, Josh McMichael, Adam Coffman, Arpad Danos, Ben Ainscough, Erica Barnell, Alex Wagner, Zachary Skidmore, Robert Lesurf, Lee Trani, Avinash Ramu, Katie Campbell, Obi Griffith

Source code:

civic-client (GitHub)
civic-server (GitHub)

Citation(s):

CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer.


DoCM: Database of Curated Mutations

Description:

The Database of Curated Mutations (DoCM) is an open access resource that outlines literature supported somatic mutations that are clinically or biologically relevant.

Team members:

Ben Ainscough, Malachi Griffith, Adam Coffman, Alex Wagner, Jason Kunisaki, Joshua McMichael, Obi Griffith

Source code:

docm (GitHub)

Citation(s):

DoCM: a database of curated mutations in cancer.


DGIdb: The Drug-Gene Interaction Database

Description:

DGIdb offers user-friendly browsing, searching, and filtering of information on drug-gene interactions and the druggable genome, mined from over thirty trusted sources.

Team members:

Kelsy Cotto, Alex Wagner, Yang-Yang Feng, Susanna Kiwala, Adam Coffman, Gregory Spies, Alex Wollam, Nicholas Spies, Obi Griffith, Malachi Griffith

Source code:

dgi-db (GitHub)

Citation(s):

DGIdb 2.0: mining clinically relevant drug-gene interactions
DGIdb: mining the druggable genome


pVACtools: Tools for Personalized Cancer Vaccine Design

Description:

A computational toolkit for aiding design of personalized cancer vaccines.

Team members:

Jasreet Hundal, Susanna Kiwala, Joshua McMichael, Yang-Yang Feng, Christopher Miller, Aaron Graubert, Amber Wollam, Connor Liu, Jason Walker, Obi Griffith, Malachi Griffith

Source code:

pVACtools (GitHub)

Citation(s):

pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens


GenVisR: Genomic Visualizations in R

Description:

GenVisR is a bioconductor package designed to allow users to produce highly customizable publication quality graphics for genomic data primarily at the cohort level.

Team members:

Zachary Skidmore, Alex Wagner, Katie Campbell, Jason Kunisaki, Obi Griffith, Malachi Griffith.

Source code:

GenVisR (Bioconductor)
GenVisR (GitHub)

Citation(s):

GenVisR: Genomic Visualizations in R.


regtools

Description:

regtools is a set of tools that integrate DNA-seq and RNA-seq data to help interpret mutations in a regulatory and splicing context.

Team members:

Yang-Yang Feng, Avinash Ramu, Kelsy Cotto, Jason Kunisaki, Zachary Skidmore, Obi Griffith, Malachi Griffith

Source code:

regtools (GitHub)

Citation(s):