CaeNDR
CaeNDR provides curated whole-genome sequence data, annotated variants, and genome-wide association mapping resources for quantitative genetics and comparative genomics across the Caenorhabditis species C. elegans, C. briggsae, and C. tropicalis.
Key Features:
- Comprehensive Databases: Hosts continually updated strain collections, whole-genome sequence data, and annotated variants for multiple Caenorhabditis species.
- Natural Variation Exploration Tools: Provides interactive tools to explore natural genetic variation and identify variants contributing to phenotypic diversity.
- Genome-Wide Association (GWA) Mapping Portal: Includes a GWA mapping portal tailored for Caenorhabditis to link genetic variants to phenotypic traits across strains and species.
Scientific Applications:
- Quantitative Genetics: Identify genetic loci and alleles underlying quantitative trait variation within and among Caenorhabditis species.
- Genome-Wide Association Studies: Perform GWAS to associate specific variants with phenotypic traits across strains and species.
- Comparative Genomics and Evolutionary Biology: Compare natural genetic variation across C. elegans, C. briggsae, and C. tropicalis to study evolutionary processes.
- Functional Analysis of Natural Variation: Investigate the functional implications of annotated variants for phenotype and trait evolution.
Methodology:
Genome-wide association (GWA) mapping and provision of annotated variants derived from whole-genome sequence data.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 3/27/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Crombie TA, McKeown R, Moya ND, Evans KS, Widmayer SJ, LaGrassa V, Roman N, Tursunova O, Zhang G, Gibson SB, Buchanan CM, Roberto NM, Vieira R, Tanny RE, Andersen EC. CaeNDR, the <i>Caenorhabditis</i> Natural Diversity Resource. Nucleic Acids Research. 2023;52(D1):D850-D858. doi:10.1093/nar/gkad887. PMID:37855690. PMCID:PMC10767927.
DOI: 10.1093/nar/gkad887
PMID: 37855690
PMCID: PMC10767927
Funding: - National Science Foundation: 2224885