ClairS - a deep-learning method for long-read somatic small variant calling
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Updated
Nov 14, 2024 - Python
ClairS - a deep-learning method for long-read somatic small variant calling
SNV calling from single cell sequencing
Filters for Next Generation Sequencing
Personal Cancer Genome Reporter (PCGR)
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
A collection of software to work with genomic variants
Generic human DNA variant annotation pipeline
Pipeline to call SNV's with 4 tools (VarDict, LoFreq, Mutect2 & SiNVICT)
A snakemake pipeline that performs variant calling of Nanopore reads from FastQ files for non-model organisms
This repository will house the scripts used to analyze and represent genomic and temperature data for my dissertation.
Microassembly based somatic variant caller for NGS data
Determine read depth and variant frequency thresholds to distinguish NGS sequencing errors from true SNPs. Simulates effect of changing per-site read depth and variant frequency on accuracy of genetic diversity measures (pi, alterante allele frequency, shannon diversity).
A collection of Python modules equivalent to R ReQTL Toolkit aims to identify the association between expressed SNVs with their gene expression using RNA-sequencing data.
Strelka2 germline and somatic small variant caller
Detect and phase minor SNVs from long-read sequencing data
A somatic mutation signature simulator
A method for variant graph genotyping based on exact alignment of k-mers
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