Mousepost
Mousepost catalogs protein-coding sequence polymorphisms across inbred mouse strains to support comparative genetic analysis and identification of variant effects on protein function and phenotype.
Key Features:
- Expanded Strain Coverage: Includes protein-coding sequences from the original 36 sequenced inbred strains plus 16 additional strains (total 52) referenced to the C57BL/6J genome using data from the Mouse Genomes Project.
- Comprehensive Polymorphism Analysis: Searches and catalogs variations in all protein-coding gene sequences across included strains and categorizes sequence polymorphisms that may influence strain-specific phenotypes or act as modifier effects.
- Enhanced Mutation Detection: Detects and classifies start codon mutations in addition to stop codon losses and gains, small insertions and deletions (indels), and missense mutations.
Scientific Applications:
- Comparative genomics: Enables detailed comparisons of protein-coding sequences across multiple mouse strains to study genetic diversity.
- Phenotype and disease susceptibility studies: Facilitates identification of variants that contribute to phenotypic diversity and disease susceptibility.
- Genetic modifier discovery: Supports identification of potential genetic modifiers that may influence experimental outcomes or strain-specific traits.
Methodology:
Performs systematic comparison of protein-coding gene sequences from multiple mouse strains against the C57BL/6J reference genome and catalogs and analyzes sequence polymorphisms, including start codon mutations, stop codon losses and gains, small insertions and deletions, and missense variants.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 3/18/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Database search
Inputs
Publications
Timmermans S, Vandewalle J, Libert C. Mousepost 2.0, a major expansion of the resource. Nucleic Acids Research. 2023;51(4):1652-1661. doi:10.1093/nar/gkad064. PMID:36762471. PMCID:PMC9976886.
DOI: 10.1093/nar/gkad064
PMID: 36762471
PMCID: PMC9976886
Funding: - Universiteit Gent: BOF.MET.2021.0001.0