ANRV274-PP57-13 ARI 5 April 2006 19:12 Bioinformatics and Its Applications in Plant Biology Seung Yon Rhee,1 Julie Dickerson,2 and Dong Xu3 1Department of Plant Biology, Carnegie Institution, Stanford, California 94305; email:
[email protected] 2Baker Center for Computational Biology, Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011-3060; email:
[email protected] 3Digital Biology Laboratory, Computer Science Department and Life Sciences Center, University of Missouri-Columbia, Columbia, Missouri 65211-2060; email:
[email protected] Annu. Rev. Plant Biol. Key Words 2006. 57:335–60 sequence analysis, computational proteomics, microarray data The Annual Review of Plant Biology is online at analysis, bio-ontology, biological database plant.annualreviews.org Abstract doi: 10.1146/ annurev.arplant.56.032604.144103 Bioinformatics plays an essential role in today’s plant science. As the Copyright c 2006 by amount of data grows exponentially, there is a parallel growth in the by Stanford University Robert Crown Law Lib. on 05/10/07. For personal use only. Annual Reviews. All rights demand for tools and methods in data management, visualization, in- Annu. Rev. Plant Biol. 2006.57:335-360. Downloaded from arjournals.annualreviews.org reserved tegration, analysis, modeling, and prediction. At the same time, many First published online as a researchers in biology are unfamiliar with available bioinformatics Review in Advance on February 28, 2006 methods, tools, and databases, which could lead to missed oppor- tunities or misinterpretation of the information. In this review, we 1543-5008/06/0602- 0335$20.00 describe some of the key concepts, methods, software packages, and databases used in bioinformatics, with an emphasis on those relevant to plant science.