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Nucleic Acids Research Advance Access originally published online on October 16, 2008
Nucleic Acids Research 2009 37(Database issue):D32-D36; doi:10.1093/nar/gkn721
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Nucleic Acids Research, 2009, Vol. 37, Database issue D32-D36
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

NCBI Reference Sequences: current status, policy and new initiatives

Kim D. Pruitt*, Tatiana Tatusova, William Klimke and Donna R. Maglott

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Rm 4As.47B, 45 Center Drive, Bethesda, MD, USA

*To whom correspondence should be addressed. Tel: +1 301 435 5898; Fax: +1 301 480 2918; Email: pruitt{at}ncbi.nlm.nih.gov

Received September 15, 2008. Revised September 26, 2008. Accepted September 30, 2008.

NCBI's Reference Sequence (RefSeq) database (http://www.ncbi.nlm.nih.gov/RefSeq/) is a curated non-redundant collection of sequences representing genomes, transcripts and proteins. RefSeq records integrate information from multiple sources and represent a current description of the sequence, the gene and sequence features. The database includes over 5300 organisms spanning prokaryotes, eukaryotes and viruses, with records for more than 5.5 x 106 proteins (RefSeq release 30). Feature annotation is applied by a combination of curation, collaboration, propagation from other sources and computation. We report here on the recent growth of the database, recent changes to feature annotations and record types for eukaryotic (primarily vertebrate) species and policies regarding species inclusion and genome annotation. In addition, we introduce RefSeqGene, a new initiative to support reporting variation data on a stable genomic coordinate system.


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