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Entrez Gene: gene-centered information at NCBI
Donna Maglott1, Jim Ostell, Kim D Pruitt
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Room 5AS.13B, 45 Center Drive, Bethesda, MD 20892-6510, USA. maglott@ncbi.nlm.nih.gov
Nucleic Acids Research
|December 21, 2004
Summary
Entrez Gene is NCBI’s comprehensive database for gene information, focusing on sequenced genomes and active research communities. It integrates data from multiple sources, offering updated details on gene nomenclature, products, and related research.
Area of Science:
- Bioinformatics
- Genomics
- Molecular Biology
Background:
- Entrez Gene is a key resource from the National Center for Biotechnology Information (NCBI) for gene-specific data.
- It serves as a successor to NCBI's LocusLink, offering expanded scope and improved accessibility.
- The database prioritizes genes from completely sequenced genomes, active research areas, and upcoming sequencing projects.
Purpose of the Study:
- To provide a centralized and curated database for gene-specific information.
- To integrate diverse data sources for a comprehensive view of genes.
- To offer stable identifiers and continuously updated information for genetic research.
Main Methods:
- Curated integration of data from NCBI's Reference Sequence project (RefSeq).
- Automated integration of data from collaborating model organism databases.
- Inclusion of data from various other NCBI-accessible databases.
Main Results:
- Entrez Gene provides detailed information including nomenclature, map location, gene products, markers, and phenotypes.
- Records are assigned unique, stable, and trackable integer identifiers.
- Content is continuously updated with new information, including links to sequences, variations, expression data, and external databases.
Conclusions:
- Entrez Gene offers a significant advancement in gene information accessibility and taxonomic scope.
- The database serves as a valuable, dynamic resource for researchers in genomics and molecular biology.
- Its integrated approach and continuous updates enhance its utility for understanding gene attributes and relationships.