AI-based prediction of driver mutations
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Updated
Apr 6, 2020 - Python
AI-based prediction of driver mutations
Snakemake Pipeline for the Analyses of ChIP-seq data in Cancer samples
This page is reserved for NextFlow based Indell Calling Workflow (with Platypus) from DKFZ
a Nextflow SNV calling and annotation pipeline based on DKFZ-ODCF/SNVCallingWorkflow
Depository for Bioinformatics Master Project HT2022-VT2023
Detects hotspot regions for somatic mutations in 3D protein structures
Pipeline to call SNV's with 4 tools (VarDict, LoFreq, Mutect2 & SiNVICT)
Galaxy Tool Shed repositories maintained and developed by the Morin Lab.
Snakemake workflow for somatic mutation detection without matched normal samples
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
Bioinformatic Analysis pipeLine for SomAtic Mutations In Cancer
ClairS - a deep-learning method for long-read somatic small variant calling
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