BSA4Yeast

BSA4Yeast performs quantitative trait locus (QTL) mapping in yeast by applying bulk segregant analysis to next-generation sequencing (NGS) data to identify and annotate genomic regions associated with phenotypic traits.


Key Features:

  • Automated Data Processing: Automates processing of bulk segregant analysis workflows for sequencing data, including variant detection and genomic region identification.
  • Next-Generation Sequencing Integration: Integrates next-generation sequencing (NGS) data to enable high-resolution mapping and accurate variant discovery.
  • Functional Annotations: Provides functional annotation of identified variants to assess potential biological impacts of candidate genes within QTL regions.

Scientific Applications:

  • Candidate Gene Identification: Pinpoints candidate genes within QTL regions that may underlie specific phenotypic traits in yeast.
  • Variant Prioritization for Validation: Supports prioritization of variants and genes for downstream functional validation experiments.
  • Genetics and Genomics Research: Applicable to genetics, genomics, and molecular biology studies investigating gene–phenotype associations in yeast.

Methodology:

Uses bulk segregant analysis on pooled samples from individuals with extreme phenotypes, compares pooled sequencing data to reference genomes, integrates next-generation sequencing data for high-resolution mapping, identifies genomic regions associated with traits, and performs variant annotation.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Zhang Z, Jung PP, Grouès V, May P, Linster C, Glaab E. BSA4Yeast: Web-based quantitative trait locus linkage analysis and bulk segregant analysis of yeast sequencing data. GigaScience. 2019;8(6). doi:10.1093/gigascience/giz060. PMID:31141611. PMCID:PMC6571488.

Documentation

Links