Printer Friendly

Systems biology and bioinformatics; a computational approach.


Systems biology and bioinformatics; a computational approach.

Najarian, Kayvan et al.

CRC / Taylor & Francis


166 pages




After reviewing cell biology, high-throughput bioassays, and computational methods, this textbook introduces the principles of bioinformatics and walks through the development of systems biology models. Najarian (computer science, Virginia Commonwealth U.) et al explain protein structure prediction, Bayesian networks as static models of regulatory pathways, metabolic control theory, dynamic modeling of biological pathways, and gene silencing.

([c]2009 Book News, Inc., Portland, OR)

COPYRIGHT 2009 Book News, Inc.
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2009 Gale, Cengage Learning. All rights reserved.

 Reader Opinion




Article Details
Printer friendly Cite/link Email Feedback
Publication:SciTech Book News
Article Type:Book review
Date:Sep 1, 2009
Previous Article:Molecules; nucleation, aggregation and crystallization; beyond medical and other implications.
Next Article:Extraordinary leaves.

Related Articles
Computational methods for understanding bacterial and archaeal genomes.
Bioinformatics and biomedicine; proceedings.
Lecture notes on computational structural biology.
Mathematical and computational biology (BIOMAT 2007); proceedings.
Computational systems bioinformatics; proceedings.
Bioinformatics, systems biology and intelligent computing; proceedings.
Biological data mining in protein interaction networks.
Instant notes in bioinformatics, 2d ed.
Python for bioinformatics. (CD-ROM included).
Bioinformatics and biomedicine; proceedings.

Terms of use | Copyright © 2015 Farlex, Inc. | Feedback | For webmasters