Here we are going to discuss variant calling on human datasets using GATK Best practices pipeline
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Updated
Jan 17, 2024 - Shell
Here we are going to discuss variant calling on human datasets using GATK Best practices pipeline
vSNP -- validate SNPs
vSNP -- validate SNPs
a better freebayes-parallel
This directory contains material that I've used in different courses
A workflow for using SpeedSeq to align and call SVs from WGS data
Short read mapping and variant calling
mtb-mixed-infection-pipeline enables detection of mixed Mycobacterium tuberculosis infections using a reproducible workflow that integrates Snippy, FreeBayes (pooled mode) & MixInfect2. It processes raw reads through alignment, variant calling & statistical analysis to identify mixed-strain infections
BSA-QTL Mapping in Drosophila Ananassae
Multi-class classification of drug resistance in MTB clinical isolates
Pipeline for automated genomic variant analysis in inherited diseases, integrating alignment, variant calling, and quality control
Multi-class classification of drug resistance in MTB clinical isolates
Nextflow resequencing pipeline with bwa-mem and freebayes
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