Elements of Computational Systems Biology

Publication Year: 2010

Edition: 1st

Authors/Editor: Lodhi, Huma M.; Muggleton, Stephen H.

Publisher: Wiley

ISBN: 978-0-47-018093-8

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Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems

Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies.

Here's a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology.

It's intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.


Platform: Ovid
Publisher: Wiley
Product Type: Book
Author/Editor: Lodhi, Huma M.; Muggleton, Stephen H.
ISBN: 978-0-47-018093-8
Language: English
Edition: 1st
Pages: 412
Year: 2010

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