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.