There are 3 repositories under somatic-variants topic.
Bayesian haplotype-based mutation calling
An ensemble approach to accurately detect somatic mutations using SomaticSeq
NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection
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.
🌲 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
Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
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.
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal sequencing data.
R data package for pre-compiled somatic mutations from TCGA cohorts (from Broad Firehose and TCGA MC3 Project)
Snakemake-based workflow for detecting structural variants in genomic data
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
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.
Dockstore implementation of CGP core WGS analysis
A BioWDL variantcalling pipeline for germline DNA data. Starting with FASTQ files to produce VCF files. Category:Multi-Sample
R wrapper for utilizing the SigProfilerMatrixGenerator framework
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.
Pipeline for Somatic Variant Calling with WES and WGS data
Clinical Whole Genome and Exome Sequencing Pipeline
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.
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.
A suite of bioinformatics data processing and analysis pipelines, software, and training resources for common DNA and RNA sequence analysis methods.
nRex: Germline and somatic single-nucleotide, short indel and structural variant calling
An R wrapper for running the SigProfilerPlotting framework
Simulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based test
accessory scripts for processing varscan somatic/copynumber outputs.
Flujos de trabajos desarrollados y automatizados en el INMEGEN para el procesamiento de datos genómicos y transcriptómicos.
GATK 4 Mutect2 Somático