Mammalian Phenotype Ontology
How to cite this record FAIRsharing.org: MP; Mammalian Phenotype Ontology; DOI: https://doi.org/10.25504/FAIRsharing.kg1x4z; Last edited: Feb. 22, 2018, 2:02 p.m.; Last accessed: Nov 13 2018 4:18 a.m.
Record updated: May 26, 2017, 9:25 a.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.kg1x4z' by 'csmithjax' at 19:48, 25 May 2017 (approved): 'homepage' has been modified: Before: http://bioportal.bioontology.org/ontologies/MP?p=summary After: http://www.informatics.jax.org/vocab/mp_ontology
Edits to 'https://fairsharing.org/FAIRsharing.kg1x4z' by 'The FAIRsharing Team' at 12:44, 13 Oct 2016 (approved): 'homepage' has been modified: Before: http://purl.bioontology.org/ontology/MP After: http://bioportal.bioontology.org/ontologies/MP?p=summary
|contact form||http://www.informatics.jax.org/mgihome/s ...|
|Contact||Cynthia L Smith ORCID|
|Mammalian Phenotype Ontology-Download Latest Version||http://www.informatics.jax.org/downloads/reports/index.html#pheno|
No XSD schemas defined
Conditions of UseApplies to: Data use
REST Web Services
|Access our MouseMine data via our Application Programming Interface (API). We provide client libraries in the following languages: Perl, Python, Ruby, Java||http://www.mousemine.org/mousemine/api.do|
The Mammalian Phenotype Ontology as a tool for annotating, analyzing and comparing phenotypic information.
Smith CL,Goldsmith CA,Eppig JT
Genome Biol 2005
The mammalian phenotype ontology: enabling robust annotation and comparative analysis.
Smith CL,Eppig JT
Wiley Interdiscip Rev Syst Biol Med 2010
The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.
Smith CL,Eppig JT
Mamm Genome 2012
No semantic standards defined
Models and Formats
No syntax standards defined
No identifier schema standards defined
Characterizations of hundreds of strains of laboratory mice to facilitate translational discoveries and to assist in selection of strains for experimental studies. Data sets are voluntarily contributed by researchers or retrieved by us from public sources. MPD has three major types of strain-centric data sets: phenotype strain surveys, SNP and variation data, and gene expression strain surveys.
neXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data.
Rat Genome Database
The Rat Genome Database is the premier site for genetic, genomic, phenotype, and disease data generated from rat research. It provides easy access to corresponding human and mouse data for cross-species comparison and its comprehensive data and innovative software tools make it a valuable resource for researchers worldwide.
Mouse Genome Database - a Mouse Genome Informatics (MGI) Resource
MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. Data includes gene characterization, nomenclature, mapping, gene homologies among mammals, sequence links, phenotypes, allelic variants and mutants, and strain data.
MouseMine @ MGI
A database of integrated mouse data from MGI, powered by InterMine. MouseMine is member of InterMOD, a consortium of model organism databases dedicated to making cross-species data analysis easier through ongoing coordination and collaborative system development.
The GeneWeaver data and analytics website is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across species.
Deciphering the Mechanisms of Developmental Disorders
Initiated in 2013, DMDD has the ambitious goal of identifying all embryonic lethal knockout lines made at the Wellcome Trust Sanger institute, through their work as a major centre for creation of individual mouse gene knockouts. DMDD uses a combination of comprehensive 3D imaging, tissue histology, immunocytochemistry and transcriptomics to identify abnormalities in embryo and placental structure for each embryonic lethal line. All data is made freely available via this web site, enabling individual researchers to identify lines relevant to their own research. The DMDD programme is coordinating its work with similar international efforts through the umbrella of the International Mouse Phenotyping Consortium.
Open Targets designed and developed an integration and visualization platform that provides evidence about the association of known and potential drug targets with diseases. The platform is designed to support identification and prioritization of biological targets for follow-up. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources. The platform provides either a target-centric workflow to identify diseases that may be associated with a specific target, or a disease-centric workflow to identify targets that may be associated with a specific disease. Users can easily transition between these target- and disease-centric workflows.
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.
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