A First Course in Systems Biology - Brossura

Voit, Eberhard

 
9780815344674: A First Course in Systems Biology

Sinossi

A First Course in Systems Biology is a textbook designed for advanced undergraduate and graduate students. Its main focus is the development of computational models and their applications to diverse biological systems.

Because the biological sciences have become so complex that no individual can acquire complete knowledge in any given area of specialization, the education of future systems biologists must instead develop a student's ability to retrieve, reformat, merge, and interpret complex biological information.

This book provides the reader with the background and mastery of methods to execute standard systems biology tasks, understand the modern literature, and launch into specialized courses or projects that address biological questions using theoretical and computational means. The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and larger-scale, often open-ended questions for further reflection.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Contenuti

1: Biological Systems
2: Introduction to Mathematical Modeling
3: Static Network Models
4: The Mathematics of Biological Systems
5: Parameter Estimation
6: Gene Systems
7: Protein Systems
8: Metabolic Systems
9: Signaling Systems
10: Population Systems
11: Integrative Analysis of Genome, Protein, and Metabolite Data
12: Physiological Modeling: the Heart as Example
13: Systems Biology in Medicine and Drug Development
14: Design of Biological Systems
15: Emerging Topics in Systems Biology

Product Description

Book by Voit Eberhard

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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9780815345688: A First Course in Systems Biology

Edizione in evidenza

ISBN 10:  0815345682 ISBN 13:  9780815345688
Casa editrice: Garland Science, 2017
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