ClairS - a deep-learning method for long-read somatic small variant calling

ClairS-TO - a deep-learning method for tumor-only somatic variant calling

Bioinformatic Analysis pipeLine for SomAtic Mutations In Cancer

Snakemake workflow for somatic mutation detection without matched normal samples

nRex: Germline and somatic single-nucleotide, short indel and structural variant calling

Galaxy Tool Shed repositories maintained and developed by the Morin Lab.

Detects hotspot regions for somatic mutations in 3D protein structures

a Nextflow SNV calling and annotation pipeline based on DKFZ-ODCF/SNVCallingWorkflow

This page is reserved for NextFlow based Indell Calling Workflow (with Platypus) from DKFZ

Depository for Bioinformatics Master Project HT2022-VT2023

AI-based prediction of driver mutations

Snakemake Pipeline for the Analyses of ChIP-seq data in Cancer samples

Analysis of somatic mutations in patients with Leukemia. Optimizing Machine and Deep Learning models for multi-classification tasks.

Mutational signal profiling from somatic variation to detect disrupted mechanisms in somatic cells (typically cancers) using https://github.com/AlexandrovLab/SigProfilerExtractor