Computational Systems Biology (Methods in Molecular Biology) [Hardcover]

Jason McDermott (Editor), Ram Samudrala (Editor), Roger Bumgarner (Editor), Kristina Montgomery (Editor), Reneé Ireton (Editor)

Book Description

ISBN-10: 1588299058 | ISBN-13: 978-1588299055 | Publication Date: April 1, 2009 | Edition: 1

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.

Editorial Reviews

Review

From the reviews: “The new volume of the Humana Press ‘Methods in Molecular Biology’ series, entitled ‘Computational Systems Biology,’ consists of 25 chapters authored by 57 specialists in the field. … This book contains a wide collection of methods that … gives a broad review of this fascinating and quickly developing field. … for a computational biologist, it is a fascinating read, a broad and comprehensive resource on the current methods and approaches.” (Borys Wróbel, Acta Biochimica Polonica, Vol. 56, December, 2009)

From the Back Cover

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.

Product Details

• Hardcover: 605 pages
• Publisher: Humana Press; 1 edition (April 1, 2009)
• Language: English
• ISBN-10: 1588299058
• ISBN-13: 978-1588299055
• Product Dimensions: 10.2 x 7.4 x 1.3 inches
• Shipping Weight: 3 pounds
• Amazon Best Sellers Rank: #1,404,953 in Books (See Top 100 in Books)