ENGLISH

Computational Systems Biology

By Leonardo Mariño-Ramírez , Kannan Tharakaraman , Olivier Bodenreider , John Spouge (auth.) , Reneé Ireton , Kristina Montgomery , Roger Bumgarner , Ram Samudrala , Jason McDermott (eds.)

Book information

Publisher
Humana Press
Year
2009
ISBN
9781588299055, 1588299058
DOI
10.1007/978-1-59745-243-4
LCC
QH324.2 .C6382 2009
Open Library ID
OL12325773M
Language
english
Format
PDF
Filesize
10 MB (10955677 bytes)
Series
Methods in molecular biology 541
Edition
1
Pages
587\585
Library
kolxoz-dop
Time added
2010-02-18 13:16:04
Bioinformatics; Systems Biology; Computer Appl. in

Description

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.

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