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USDA Stakeholder Workshop on Animal Bioinformatics: Summary and Recommendations
Debora L Hamernik1, David L Adelson
1USDA-CSREES: (First Class Mail) 1400 Independence Ave SW; Stop 2220 Washington DC 20250-2220 USA.
Comparative and Functional Genomics
|July 17, 2008
Summary
An electronic workshop identified key priorities for animal bioinformatics, including data repositories and analysis tools. Recommendations were made for USDA leadership and funding to advance animal genome database development.
Area of Science:
- Bioinformatics
- Genomics
- Animal Science
Background:
- An electronic workshop convened in 2002 to address current challenges in animal bioinformatics.
- The workshop utilized an e-mail listserver format for broad, cost-efficient, and accessible communication among diverse experts.
Purpose of the Study:
- To define development priorities for animal genome databases.
- To recommend strategies for the U.S. Department of Agriculture (USDA) to lead in animal genome database development.
Main Methods:
- An electronic workshop involving approximately 40 panelists with expertise in various species and disciplines.
- A secondary 'stakeholder' e-mail listserver facilitated input from a wider audience interested in animal genomics.
Main Results:
- Identified priorities for animal genome database development: data repository, genome analysis tools, annotation, practical genomic data application, and a biological framework for DNA sequence.
- Recommended stable funding from USDA Agricultural Research Service (ARS) for data repositories and curation.
- Advocated for continued support of USDA Cooperative State Research, Education and Extension Service (CSREES) grants for tool development and research.
Conclusions:
- Established priorities for animal genome database development and identified critical needs for USDA leadership.
- Emphasized the necessity of sustained funding and competitive grants for advancing animal bioinformatics.
- Highlighted the ongoing need for stakeholder engagement to refine priorities and optimize resource allocation within the USDA.
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