Computational Systems Biology
2nd Edition
Published on 1. January 2021
Book
Hardback
1000 pages
978-1-4398-7402-8 (ISBN)
Description
Now available as a three-volume set, the second edition of this popular handbook provides expanded coverage of many important topics and recent developments in computational biology. With updates in each chapter, the book incorporates the latest research and applications in systems biology. This volume explains how to generate data for structure learning, simulate and analyze biochemical networks, assess methods for reverse engineering gene networks, construct gene regulatory networks and protein-protein interaction networks, identify building blocks of cellular interaction networks, and much more.
More details
Series
Edition
2nd edition
Language
English
Place of publication
Washington
United States
Target group
College/higher education
Professional and scholarly
Computational biologists, systems biologists, bioinformaticians, statistical geneticists, biomedical engineers, biophysicists, and life scientists.
Illustrations
200 s/w Abbildungen
200 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
ISBN-13
978-1-4398-7402-8 (9781439874028)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Synthetic expression data generation for structure learning. Simulation and analysis of biochemical networks and dynamics. Graphical editing and simulation of biochemical networks. Assessing methods for reverse engineering gene networks. Construction of gene regulatory networks. Construction and analysis of protein-protein interaction networks. Predicting protein function from protein-protein interaction networks. Analysis and comparison of biological networks. Identifying building blocks of cellular interaction networks. Extracting modules from protein interaction networks. Computational methods for structure and function analysis of biological networks. Visualization of molecular interaction networks using Cytoscape. Integrated visualization of metabolic networks.