MaftoolsSummarize, Analyze and Visualize MAF files from TCGA or in house studies.
DellyDELLY2: Structural variant discovery by integrated paired-end and split-read analysis
IdeogramChromosome visualization for the web
PcgrPersonal Cancer Genome Reporter (PCGR)
LollipopsLollipop-style mutation diagrams for annotating genetic variations.
LancetMicroassembly based somatic variant caller for NGS data
Somalierfast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"
TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
SomaticseqAn ensemble approach to accurately detect somatic mutations using SomaticSeq
Msisensormicrosatellite instability detection using tumor only or paired tumor-normal data
Music2identifying mutational significance in cancer genomes
AgfusionPython package to annotate and visualize gene fusions.
Sv CallersSnakemake-based workflow for detecting structural variants in WGS data
PygenoPersonalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
civic-clientWeb client for CIViC: Clinical Interpretations of Variants in Cancer
SigProfilerExtractorSigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGen…
revolverREVOLVER - Repeated Evolution in Cancer
pathway-mapperPathwayMapper: An interactive and collaborative graphical curation tool for cancer pathways
SigProfilerPlottingSigProfilerPlotting provides a standard tool for displaying all types of mutational signatures as well as all types of mutational patterns in cancer genomes. The tool seamlessly integrates with other SigProfiler tools.
TeamTeriGenomics using open source tools, running on GCP or AWS
cpsrCancer Predisposition Sequencing Reporter (CPSR)
mauiMulti-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
IMPACT-PipelineFramework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay
orchidA novel management, annotation, and machine learning framework for analyzing cancer mutations
SigProfilerSimulatorSigProfilerSimulator allows realistic simulations of mutational patterns and mutational signatures in cancer genomes. The tool can be used to simulate signatures of single point mutations, double point mutations, and insertion/deletions. Further, the tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
SigProfilerMatrixGeneratorSigProfilerMatrixGenerator creates mutational matrices for all types of somatic mutations. It allows downsizing the generated mutations only to parts for the genome (e.g., exome or a custom BED file). The tool seamlessly integrates with other SigProfiler tools.
deTiNDeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.
SCICoNESingle-cell copy number calling and event history reconstruction.
cacaoCallable Cancer Loci - assessment of sequencing coverage for actionable and pathogenic loci in cancer
Variants2NeoantigenA neoantigen calling pipeline begins from variants record file (MAF) (Not maintain now)