Discovering Biomolecular Mechanisms with Computational Biology

In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biol...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Eisenhaber, Frank. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Molecular Biology Intelligence Unit,
Subjects:
Online Access:https://doi.org/10.1007/0-387-36747-0
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Summary:In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation. Discovering Biomolecular Mechanisms with Computational Biology is essential reading for life science researchers and higher-level students that work on biomolecular mechanisms and wish to understand the impact of computational biology for their success.
Physical Description:XI, 147 p. 42 illus., 1 illus. in color. online resource.
ISBN:9780387367477
ISSN:1431-0414