Abstract
Abstract Summary: The goal of this project is to simplify access to genomic diversity and phenotype data, thereby encouraging reuse of this data. The Genomic Diversity and Phenotype Connection (GDPC) accomplishes this by retrieving data from one or more data sources and by allowing researchers to analyze integrated data in a standard format. GDPC is written in JAVA and provides (1) data sources available as web services that transfer XML formatted data via the SOAP protocol; (2) a JAVA API for programmatic access to data sources; and (3) a front-end application that allows users to manage data sources, retrieve data based on filters, sort/group data based on property values and save/open the data as XML files. Availability: The source code, compiled code, documentation and GDPC Browser are freely available at: www.maizegenetics.net/gdpc/index.html. The current release of GDPC is version 1.0, with updated releases planned for the future. Comments are welcome.
Keywords
Computer scienceXMLJavaDocumentationDatabaseSource codeReuseWorld Wide WebInformation retrievalProgramming language
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Publication Info
- Year
- 2004
- Type
- article
- Volume
- 20
- Issue
- 16
- Pages
- 2839-2840
- Citations
- 9
- Access
- Closed
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Cite This
Terry Casstevens,
Edward S. Buckler
(2004).
GDPC: connecting researchers with multiple integrated data sources.
Bioinformatics
, 20
(16)
, 2839-2840.
https://doi.org/10.1093/bioinformatics/bth277
Identifiers
- DOI
- 10.1093/bioinformatics/bth277