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GDPC: connecting researchers with multiple integrated data sources.

Terry M Casstevens1, Edward S Buckler

  • 1Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853-2703, USA. terry_casstevens@hotmail.com

Bioinformatics (Oxford, England)
|April 24, 2004
PubMed
Summary

The Genomic Diversity and Phenotype Connection (GDPC) simplifies access to genomic and phenotype data. This tool encourages data reuse by integrating diverse sources into a standard format for analysis.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Science

Background:

  • Genomic diversity and phenotype data are crucial for biological research.
  • Accessing and integrating these datasets can be challenging due to disparate sources and formats.

Purpose of the Study:

  • To simplify access to genomic diversity and phenotype data.
  • To encourage the reuse of valuable biological datasets.
  • To provide researchers with integrated data for analysis.

Main Methods:

  • Developed the Genomic Diversity and Phenotype Connection (GDPC) tool.
  • Utilized JAVA for development, providing a JAVA API.
  • Implemented web services using SOAP protocol for XML data transfer.
  • Created a front-end application for data management and retrieval.

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Main Results:

  • GDPC integrates data from multiple sources into a standard format.
  • Enables researchers to retrieve, filter, sort, and group data.
  • Data can be managed, saved, and opened as XML files.
  • Provides programmatic access via a JAVA API.

Conclusions:

  • GDPC successfully simplifies access to and promotes the reuse of genomic and phenotype data.
  • The tool offers a standardized approach for data integration and analysis.
  • Future releases are planned to enhance functionality and data accessibility.