standards > terminology artifact > DOI:10.25504/FAIRsharing.qnkw45


ready Medical Subject Headings

Abbreviation: MESH


General Information
MeSH is the National Library of Medicine's controlled vocabulary thesaurus. It consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity. MeSH descriptors are arranged in both an alphabetic and a hierarchical structure. At the most general level of the hierarchical structure are very broad headings such as "Anatomy" or "Mental Disorders." More specific headings are found at more narrow levels of the thirteen-level hierarchy, such as "Ankle" and "Conduct Disorder." There are 27,883 descriptors in 2016 MeSH with over 87,000 entry terms that assist in finding the most appropriate MeSH Heading, for example, "Vitamin C" is an entry term to "Ascorbic Acid." In addition to these headings, there are more than 232,000 Supplementary Concept Records (SCRs) within a separate file. Generally SCR records contain specific examples of chemicals, diseases, and drug protocols. They are updated more frequently than descriptors. Each SCR is assigned to a related descriptor via the Heading Map (HM) field. The HM is used to rapidly identify the most specific descriptor class and include it in the citation. If you work on the project responsible for "Medical Subject Headings" then please consider helping us by claiming this record and updating it appropriately.

Homepage http://www.nlm.nih.gov/mesh/

Countries that developed this resource United States

Created in 1960

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How to cite this record FAIRsharing.org: MESH; Medical Subject Headings; DOI: https://doi.org/10.25504/FAIRsharing.qnkw45; Last edited: Aug. 7, 2019, 1:47 p.m.; Last accessed: Oct 16 2019 1:18 p.m.


Record updated: June 27, 2019, 11:25 a.m. by The FAIRsharing Team.

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Publications

Medical subject headings.

ROGERS FB
Bull Med Libr Assoc 1963

View Paper (PubMed)

MESH Ontology Display

View in BioPortal.


Disclaimer: This widget assumes the availability of the ontology resources in the NCBO BioPortal.


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Implementing Databases (12)
SpliceDisease
The SpliceDisease database provides information linking RNA splicing to human disease, including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference Pubmed ID and detailed description for the relationship among gene mutations, splicing defects and diseases.

neXtProt
neXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data.

Comparative Toxicogenomics Database
The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.

PubChem
PubChem is organized as three linked databases within the NCBI's Entrez information retrieval system. These are PubChem Substance, PubChem Compound, and PubChem BioAssay. PubChem also provides a fast chemical structure similarity search tool. More information about using each component database may be found using the links in the homepage.

PubMed
PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Orphanet
Orphanet is the reference resource for information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases. Orphanet maintains the Orphanet nomenclature, essential for interoperability, and the Orphanet Rare Disease Ontology (ORDO).

GWAS Central
Findings from genetic association studies.

DisGeNET: a knowledge base for disease genomics
DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v 6.0) contains 628,685 gene-disease associations (GDAs), between 17,549 genes and 24,166 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 210,498 variant-disease associations (VDAs), between 117,337 variants and 10,358 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.

UniCarbKB
UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data.

GeneWeaver
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.

LncBook
LncBook is a curated knowledgebase of human lncRNAs that features a comprehensive collection of human lncRNAs and systematic curation of lncRNAs by multi-omics data integration, functional annotation and disease association. In the present version, LncBook houses a large number of 270 044 lncRNAs and includes 1867 featured lncRNAs with 3762 lncRNA-function associations. It also integrates an abundance of multi-omics data from expression, methylation, genome variation and lncRNA-miRNA interaction. Also, LncBook incorporates 3772 experimentally validated lncRNA-disease associations and further identifies a total of 97 998 lncRNAs that are putatively disease-associated. Collectively, LncBook is dedicated to the integration and curation of human lncRNAs as well as their associated data and thus bears great promise to serve as a valuable knowledgebase for worldwide research communities.

Mitochondrial Disease Sequence Data Resource
The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.

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