Mrbws

Mrbws provides integrated access to the Mouse Genome Database (MGD), delivering curated genetic, genomic, and phenotypic data for mouse models used to study human biology and disease.

Key Features:

• Comprehensive gene catalog: MGD curates a complete catalog of mouse genes and genome attributes integrated from biomedical literature, direct researcher contributions, and downloads from major informatics resource centers.
• Phenotype and disease annotations: Standardized descriptions of mouse phenotypes and associations between mouse models and human genetic diseases using the Mammalian Phenotype (MP) Ontology and related mappings.
• Sequence data: Incorporates extensive DNA and protein sequence data.
• Genome and variant normalization: Provides a normalized representation of genome and genome variant information.
• Curation and automated acquisition: Combines manual curation with automated data acquisition processes to ensure data quality.
• Genetic maps and feature classification: Includes updated genetic maps and new classification terms for genome features.
• Recombinase (cre) portal: Contains a recombinase (cre) portal for tracking cre-related genome features.
• IKMC allele coverage: Includes all alleles generated by the International Knockout Mouse Consortium (IKMC).
• Ontology collaborations: Collaborates on biomedical ontologies such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology to standardize annotations.
• Integration within MGI: Functions as the authoritative community model organism component of the Mouse Genome Informatics (MGI) resource.

Scientific Applications:

• Mouse models for human disease: Supports identification and interpretation of mouse models and their genetic associations with human diseases.
• Functional genomics and genotype–phenotype mapping: Enables mapping of gene function and phenotype relationships using curated genetic, genomic, and phenotypic data.
• Variant analysis and comparative genomics: Supports analysis of genome variants and comparison of DNA and protein sequences across strains and species.
• Conditional allele and recombinase studies: Facilitates design and interpretation of cre/conditional allele experiments through the recombinase portal and IKMC allele data.
• Ontology-driven data integration: Enables standardized annotation and interoperability across resources via GO and MP ontology collaborations.

Methodology:

Data are acquired through manual curation and automated data acquisition from biomedical literature, researcher submissions, and downloads from major informatics centers; the resource incorporates DNA and protein sequences, normalizes genome and genome variant representations, updates genetic maps, applies new classification terms for genome features, integrates IKMC alleles and recombinase (cre) portal data, and uses ontologies such as GO and MP for annotation.