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open-cravat
A modular annotation tool for genomic variants2020plus
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forestsbigmhc
BigMHC predicts MHC-I (neo)epitope presentation and immunogenicitymhcnuggets
MHC Class I and Class II neoantigen binding predictionSCHISM
Subclonal Hierarchy Inference from Somatic MutationsCHASMplus
Predicts which missense mutations will drive growth of human cancersprobabilistic2020
Simulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based testpictograph
A Bayesian hierarchical model to build tumor evolutionary treesTokheim_PNAS_2016
Evaluation protocol for computational methods predicting cancer driver genescancerSeqStudy
Analysis of statistical power and false positives for cancer exome sequencing studiesHotMAPS_2016
Detects hotspot regions for somatic mutations in 3D protein structuresTokheim_Cell_Systems_2019
Data analysis for the CHASMplus paperopencravat-cwl
NAPA
open-cravat-modules-karchinlab
open-cravat-multiuser
open-cravat-readthedocs
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