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Top 35 cancer-genomics open source projects

Maftools
Summarize, Analyze and Visualize MAF files from TCGA or in house studies.
Delly
DELLY2: Structural variant discovery by integrated paired-end and split-read analysis
Awesome Cancer Variant Databases
A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.
Ideogram
Chromosome visualization for the web
Pcgr
Personal Cancer Genome Reporter (PCGR)
Lollipops
Lollipop-style mutation diagrams for annotating genetic variations.
Lancet
Microassembly based somatic variant caller for NGS data
Somalier
fast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"
Tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Somaticseq
An ensemble approach to accurately detect somatic mutations using SomaticSeq
Msisensor
microsatellite instability detection using tumor only or paired tumor-normal data
Music2
identifying mutational significance in cancer genomes
Agfusion
Python package to annotate and visualize gene fusions.
Sv Callers
Snakemake-based workflow for detecting structural variants in WGS data
Cbioportal
cBioPortal for Cancer Genomics
Pygeno
Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
civic-client
Web client for CIViC: Clinical Interpretations of Variants in Cancer
SigProfilerExtractor
SigProfilerExtractor 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…
SigProfilerPlotting
SigProfilerPlotting 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.
maui
Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
IMPACT-Pipeline
Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay
orchid
A novel management, annotation, and machine learning framework for analyzing cancer mutations
SigProfilerSimulator
SigProfilerSimulator 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.
SigProfilerMatrixGenerator
SigProfilerMatrixGenerator 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.
deTiN
DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.
SCICoNE
Single-cell copy number calling and event history reconstruction.
Variants2Neoantigen
A neoantigen calling pipeline begins from variants record file (MAF) (Not maintain now)
1-35 of 35 cancer-genomics projects