Computational Systems Biology

  • Reneé Ireton
  • Kristina Montgomery
  • Roger Bumgarner
  • Ram Samudrala
  • Jason McDermott

Part of the Methods in Molecular Biology book series (MIMB, volume 541)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Network Components

    1. Front Matter
      Pages 1-1
    2. Leonardo Mariño-Ramírez, Kannan Tharakaraman, Olivier Bodenreider, John Spouge, David Landsman
      Pages 3-22
    3. Simon P. Kanaan, Chengbang Huang, Stefan Wuchty, Danny Z. Chen, Jesús A. Izaguirre
      Pages 43-59
    4. Itai Sharon, Jason V. Davis, Golan Yona
      Pages 61-88
    5. Duangdao Wichadakul, Jason McDermott, Ram Samudrala
      Pages 101-143
  3. Network Inference

    1. Front Matter
      Pages 1-1
    2. M. Madan Babu, Benjamin Lang, L. Aravind
      Pages 163-180
    3. Imran Rashid, Jason McDermott, Ram Samudrala
      Pages 211-223
    4. Roger E. Bumgarner, Ka Yee Yeung
      Pages 225-245
  4. Network Dynamics

    1. Front Matter
      Pages 1-1
    2. Huai Li, Yu Sun, Ming Zhan
      Pages 249-267
    3. Herbert M. Sauro
      Pages 269-309
    4. Haluk Resat, Linda Petzold, Michel F. Pettigrew
      Pages 311-335
    5. Adam Christopher Palmer, Keith Edward Shearwin
      Pages 337-354
  5. Function and Evolutionary Systems Biology

    1. Front Matter
      Pages 1-1
    2. Liran Carmel, Igor B. Rogozin, Yuri I. Wolf, Eugene V. Koonin
      Pages 357-371
    3. Umar Syed, Golan Yona
      Pages 373-420
    4. Jake Y. Chen, Eunseog Youn, Sean D. Mooney
      Pages 449-461
  6. Computational Infrastructure for Systems Biology

    1. Front Matter
      Pages 1-1
    2. Golan Yona, William Dirks, Shafquat Rahman
      Pages 479-509
    3. Michal Guerquin, Jason McDermott, Zach Frazier, Ram Samudrala
      Pages 511-534
    4. Zach Frazier, Jason McDermott, Michal Guerquin, Ram Samudrala
      Pages 535-549
    5. Ronald Taylor, Mudita Singhal
      Pages 551-576
  7. Back Matter
    Pages 577-592

About this book


The recent confluence of high throughput methodology for biological data gathering, genome-scale sequencing, and computational processing power has driven a reinvention and expansion of the way we identify, infer, model, and store relationships between molecules, pathways, and cells in living organisms. In Computational Systems Biology, expert investigators contribute chapters which bring together biological data and computational and/or mathematical models of the data to aid researchers striving to create a system that provides both predictive and mechanistic information for a model organism. The volume is organized into five major sections involving network components, network inference, network dynamics, function and evolutionary system biology, and computational infrastructure for systems biology. As a volume of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.

Comprehensive and up-to-date, Computational Systems Biology serves to motivate and inspire all those who wish to develop a complete description of a biological system.


Analysis algorithms bioinformatics evolution genes genome modeling molecular biology

Editors and affiliations

  • Reneé Ireton
  • Kristina Montgomery
  • Roger Bumgarner
  • Ram Samudrala
  • Jason McDermott

There are no affiliations available

Bibliographic information

  • DOI
  • Copyright Information Humana Press 2009
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-58829-905-5
  • Online ISBN 978-1-59745-243-4
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
Industry Sectors