pubmed2ensembl

pubmed2ensembl links Ensembl BioMart genomic data with biomedical literature from PubMed and PubMed Central by integrating curated (Entrez Gene) and text-mined (MEDLINE) gene–publication associations across over 2 million PubMed articles and nearly 150,000 genes in 50 species.


Key Features:

  • Extensive Database Linking: Connects over 2 million PubMed articles to nearly 150,000 Ensembl genes across 50 species.
  • Curated and Automated Data Sources: Integrates curated links from Entrez Gene and automatically generated links from text-mining MEDLINE records.
  • Customizable Data Filtering: Allows filtering and combination of multiple gene–publication data sources for targeted analyses.
  • Text-based Literature–Genome Querying: Supports queries against PubMed and PubMed Central text combined with constraints on genomic features.
  • Automated BioMart Construction Scripting Language: Provides a scripting language to automate construction and customization of BioMarts.

Scientific Applications:

  • Literature retrieval for genomic regions: Retrieve publications linked to specific genomic regions or genes for functional interpretation.
  • Gene-set literature aggregation: Aggregate and analyze publications associated with functionally related gene sets.
  • Cross-species literature mapping: Map literature evidence to orthologous genes across 50 species in Ensembl for comparative studies.

Methodology:

Integrates curated Entrez Gene links and text-mined associations from MEDLINE, maps PubMed/PubMed Central publications to Ensembl gene identifiers across species, and extends Ensembl BioMart with publication links using an automated BioMart construction scripting language.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Perl
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Baran J, Gerner M, Haeussler M, Nenadic G, Bergman CM. pubmed2ensembl: A Resource for Mining the Biological Literature on Genes. PLoS ONE. 2011;6(9):e24716. doi:10.1371/journal.pone.0024716. PMID:21980353. PMCID:PMC3183000.

Documentation

Links