ClairS-TO - a deep-learning method for tumor-only somatic variant calling
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Updated
Jul 18, 2024 - Python
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
ClairS - a deep-learning method for long-read somatic small variant calling
Bioinformatic Analysis pipeLine for SomAtic Mutations In Cancer
nRex: Germline and somatic single-nucleotide, short indel and structural variant calling
Lineage inference from Gene Therapy assays with insertional mutagenesis and somatic mutations
Polymorphic Edge Detection - An efficient polymorphism detector for NGS data
a Nextflow SNV calling and annotation pipeline based on DKFZ-ODCF/SNVCallingWorkflow
🌲 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
Tumor-only variant calling
This page is reserved for NextFlow based Indell Calling Workflow (with Platypus) from DKFZ
An R package for studying mutational signatures and structural variant signatures along clonal evolution in cancer.
Snakemake Pipeline for the Analyses of ChIP-seq data in Cancer samples
An R package for mutation quality control of cancer genomic sequening dataset
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal sequencing data.
Detects hotspot regions for somatic mutations in 3D protein structures
a Nextflow ACE-Seq calling and annotation pipeline based on DKFZ-ODCF/ACEseqWorkflow
Geno-DeBasher package for detection of germline and somatic variants
Transposable Element Finder - Detection of active transposable elements from NGS data
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