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PMID: 18515836 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

BioLit: integrating biological literature with databases.

Nucleic acids research ·Vol. 36 ·No. Web Server issue ·2008-07-01 ·Pages W385-9

Fink JL, Kushch S, Williams PR, Bourne PE

Abstract

BioLit is a web server which provides metadata describing the semantic content of all open access, peer-reviewed articles which describe research from the major life sciences literature archive, PubMed Central. Specifically, these metadata include database identifiers and ontology terms found within the full text of the article. BioLit delivers these metadata in the form of XML-based article files and as a custom web-based article viewer that provides context-specific functionality to the metadata. This resource aims to integrate the traditional scientific publication directly into existing biological databases, thus obviating the need for a user to search in multiple locations for information relating to a specific item of interest, for example published experimental results associated with a particular biological database entry. As an example of a possible use of BioLit, we also present an instance of the Protein Data Bank fully integrated with BioLit data. We expect that the community of life scientists in general will be the primary end-users of the web-based viewer, while biocurators will make use of the metadata-containing XML files and the BioLit database of article data. BioLit is available at http://biolit.ucsd.edu.

MeSH Terms
Databases, Factual Databases, Protein Internet PubMed Software Systems Integration
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Fink J Lynn
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, 92093-0444, USA.
Kushch Sergey
Williams Parker R
Bourne Philip E
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2008-07-01
Epub
2008-00-31
Pages
W385-9
Language
English
Region
England
NLM ID
0411011
PMCID
PMC2447735
Subset
IM
Analysis Services
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