somatic-variants
There are 70 repositories under somatic-variants topic.
luntergroup/octopus
Bayesian haplotype-based mutation calling
bioinform/somaticseq
An ensemble approach to accurately detect somatic mutations using SomaticSeq
bioinform/neusomatic
NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection
AlexandrovLab/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 SigProfilerMatrixGenerator and SigProfilerPlotting.
ShixiangWang/sigminer
🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html
google/deepsomatic
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.
SciLifeLab/Sarek
Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
AlexandrovLab/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.
PoisonAlien/TCGAmutations
R data package for pre-compiled somatic mutations from TCGA cohorts and CCLE
KChen-lab/Monopogen
SNV calling from single cell sequencing
GooglingTheCancerGenome/sv-callers
Snakemake-based workflow for detecting structural variants in genomic data
HKU-BAL/ClairS
ClairS - a deep-learning method for long-read somatic small variant calling
HKU-BAL/ClairS-TO
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
KarchinLab/2020plus
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
AlexandrovLab/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.
cancerit/dockstore-cgpwgs
Dockstore implementation of CGP core WGS analysis
biowdl/germline-DNA
A BioWDL variantcalling pipeline for germline DNA data. Starting with FASTQ files to produce VCF files. Category:Multi-Sample
akiomiyao/tif
Transposon Insertion Finder - Detection of new TE insertions in NGS data
AlexandrovLab/SigProfilerMatrixGeneratorR
R wrapper for utilizing the SigProfilerMatrixGenerator framework
tjbencomo/ngs-pipeline
Pipeline for Somatic Variant Calling with WES and WGS data
AlexandrovLab/SigProfilerTopography
SigProfilerTopography allows evaluating the effect of chromatin organization, histone modifications, transcription factor binding, DNA replication, and DNA transcription on the activities of different mutational processes. SigProfilerTopography elucidates the unique topographical characteristics of mutational signatures.
carjed/helmsman
highly-efficient & lightweight mutation signature matrix aggregation
AlexandrovLab/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.
OpenOmics/genome-seek
Clinical Whole Genome and Exome Sequencing Pipeline
AlexandrovLab/SigProfilerExtractorR
An R wrapper for SigProfilerExtractor that 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 SigProfilerMatrixGenerator and SigProfilerPlotting.
polyactis/Accucopy
Accucopy is a computational method that infers Allele-Specific Copy Number alterations from low-coverage low-purity tumor sequencing data.
Sydney-Informatics-Hub/Bioinformatics
A suite of bioinformatics data processing and analysis pipelines, software, and training resources for common methods.
tobiasrausch/nRex
nRex: Germline and somatic single-nucleotide, short indel and structural variant calling
AlexandrovLab/SigProfilerPlottingR
An R wrapper for running the SigProfilerPlotting framework
INMEGEN/Pipelines_INMEGEN
Flujos de trabajos desarrollados y automatizados en el Inmegen para el procesamiento de datos genómicos y transcriptómicos.
akiomiyao/tef
Transposable Element Finder - Detection of active transposable elements from NGS data
KarchinLab/probabilistic2020
Simulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based test
PoisonAlien/varscan_accessories
accessory scripts for processing varscan somatic/copynumber outputs.
renatopuga/somatico
GATK 4 Mutect2 Somático
ratschlab/secedo
Clustering tumor cells based on SNVs from single-cell sequencing data
rptashkin/facets2n
Algorithm to implement Fraction and Allelic Copy number Estimate from Tumor/normal Sequencing using unmatched normal sample(s) for log ratio calculations