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: | 9781441941770 |
| Publication date: | 19th November 2010 |
| Author: | Frank Eisenhaber |
| Publisher: | Springer an imprint of Springer US |
| Format: | Paperback |
| Pagination: | 147 pages |
| Series: | Molecular Biology Intelligence Unit |
| Genres: |
Biochemistry Medical research Medical microbiology and virology |