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
Main Author: Eisenhaber, Frank (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US, 2006.
Series:Molecular Biology Intelligence Unit
Subjects:
Online Access:Full Text via HEAL-Link
Description
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