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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 Mutationsprobabilistic2020
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 treesCLUMP
CLUstering by Mutation PositionTokheim_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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