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.
| ISBN-13: | 9780387345277 |
| ISBN-10: | 0387345272 |
| Publisher: | Springer US |
| Publication date: | 2006-06-13 |
| Edition description: | 2006 |
| Pages: | 147 |
| Product dimensions: | Height: 9.21 Inches, Length: 6.14 Inches, Weight: 0.98767093376 Pounds, Width: 0.44 Inches |
| Author: | Frank Eisenhaber |
| Language: | en |
| Binding: | Hardcover |
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