Microassembly based somatic variant caller for NGS data
-
Updated
Jun 23, 2022 - C
Microassembly based somatic variant caller for NGS data
🌲 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
DNA sequencing analysis notes from Ming Tang
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal sequencing data.
An R package for studying mutational signatures and structural variant signatures along clonal evolution in cancer.
ClairS - a deep-learning method for long-read somatic small variant calling
Clone identification from single-cell data
DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.
Multi-sample somatic variant caller
Bioinformatic Analysis pipeLine for SomAtic Mutations In Cancer
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
Transposon Insertion Finder - Detection of new TE insertions in NGS data
knowledge-based genotyping of cancer hotspots from the tumor BAM files
nRex: Germline and somatic single-nucleotide, short indel and structural variant calling
Snakemake workflow for somatic mutation detection without matched normal samples
Tumor-only variant calling
Transposable Element Finder - Detection of active transposable elements from NGS data
Explore and filter structural variant calls from Lumpy and Delly VCF files
An R package for mutation quality control of cancer genomic sequening dataset
Datasets and analysis results released with the REVOLVER package for Cancer Evolution.
Add a description, image, and links to the somatic-mutations topic page so that developers can more easily learn about it.
To associate your repository with the somatic-mutations topic, visit your repo's landing page and select "manage topics."