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Automated data integration for developmental biological research

Zhong, Weiwei and Sternberg, Paul W. (2007) Automated data integration for developmental biological research. Development, 134 (18). pp. 3227-3238. ISSN 0950-1991. doi:10.1242/dev.001073.

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In an era exploding with genome-scale data, a major challenge for developmental biologists is how to extract significant clues from these publicly available data to benefit our studies of individual genes, and how to use them to improve our understanding of development at a systems level. Several studies have successfully demonstrated new approaches to classic developmental questions by computationally integrating various genome-wide data sets. Such computational approaches have shown great potential for facilitating research: instead of testing 20,000 genes, researchers might test 200 to the same effect. We discuss the nature and state of this art as it applies to developmental research.

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Sternberg, Paul W.0000-0002-7699-0173
Additional Information:© The Company of Biologists Ltd 2007. Many of the model organism databases and the Gene Ontology Consortium that are crucial to data integration are supported by the National Human Genome Research Institute (e.g. WormBase grant HG02223 to P.W.S. and Gene Ontology Consortium grant HG002273 to Judith Blake). We thank Min Han for communicating unpublished results, and Alok Saldanha, Erich Schwarz, Xiaodong Wang and anonymous reviewers for comments on the manuscript. Relevant genetics research in our laboratory is supported by the Howard Hughes Medical Institute, with which P.W.S. is an Investigator and W.Z. an Associate.
Funding AgencyGrant Number
National Human Genome Research InstituteHG02223
National Human Genome Research InstituteHG002273
Howard Hughes Medical InstituteUNSPECIFIED
Issue or Number:18
Record Number:CaltechAUTHORS:ZHOdev07
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:12698
Deposited By: Archive Administrator
Deposited On:20 Dec 2008 07:27
Last Modified:08 Nov 2021 22:32

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