[github] [pub] Predict immunogenic neoepitopes with deep learning
[url] [github] [pub] A modular annotation tool for genomic variants
[github] [pub] Bayesian method to model tumor evolution
[github] [pub] Cancer-specific driver mutation prediction
[github] [pub] Neoantigen prediction with deep learning
[github] [pub] 3D hotspot mutation identification
[github] [pub] Cancer driver gene prediction
[github] [pub] Infer clonal evolutionary history of tumors
[url] [pub] Predict pathogenic variants
[github] [pub] Case-control clustering of variants in 1D
MOCA [github] [pub] Genotype-phenotype correlations
[github] [pub] Network analysis of multiple mutations
[url] [pub] Annotation of cancer somatic variants
[url] [pub] Visualize mutations on 3D protein structures
[github] [pub] Case-control clustering of variants in 3D
[pub] Random Forest predicts driver missense mutations
[github] Pipeline for bulk TCR repertoire analysis
[github] [pub] Clonal evolution of structural variants in cancer
[github] [pub] Deconvolute bulk tumor transcriptional clones
