Affiliation:
1. Department of Plant Biology, Carnegie Institution, Stanford, California 94305;
2. Baker Center for Computational Biology, Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011-3060;
3. Digital Biology Laboratory, Computer Science Department and Life Sciences Center, University of Missouri-Columbia, Columbia, Missouri 65211-2060;
Abstract
Bioinformatics plays an essential role in today's plant science. As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction. At the same time, many researchers in biology are unfamiliar with available bioinformatics methods, tools, and databases, which could lead to missed opportunities or misinterpretation of the information. In this review, we describe some of the key concepts, methods, software packages, and databases used in bioinformatics, with an emphasis on those relevant to plant science. We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases. Finally, we explore a few emerging research topics in bioinformatics.
Subject
Cell Biology,Plant Science,Molecular Biology,Physiology
Cited by
86 articles.
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