Frontiers in Computational and Systems Biology

  • Jianfeng Feng
  • Wenjiang Fu
  • Fengzhu Sun

Part of the Computational Biology book series (COBO, volume 15)

Table of contents

  1. Front Matter
    Pages I-XXV
  2. Wenjiang J. Fu, Ming Li, Yalu Wen, Likit Preeyanon
    Pages 39-59
  3. Shuixia Guo, Christophe Ladroue, Jianfeng Feng
    Pages 83-111
  4. Li Hsu, Jie Peng, Pei Wang
    Pages 133-156
  5. Hyunju Lee, Ting Chen, Fengzhu Sun
    Pages 157-173
  6. Wei Zhang, Jun S. Liu
    Pages 301-329
  7. Xuejuan Zhang
    Pages 351-369

About this book

Introduction

Biological and biomedical studies have entered a new era due to the widespread use of mathematical models and computational approaches. What was no more than a theoretician's fantasy 20 years ago has become the blooming field of computational biology. Furthermore, this powerful and stimulating research paradigm in biological studies has in turn led to new developments in mathematics, physics and computer science.

This unique volume surveys state-of-the-art research on statistical methods in molecular and systems biology, with contributions from leading experts in the field. Each chapter discusses theoretical aspects, applications to biological problems, and possible future developments. Understanding the biology at a molecular and system level stands among the most exciting challenges faced by modern science. This text clearly demonstrates how computational and mathematical approaches continue to address this challenge.

Topics and features:

  • Presents the use of thermodynamic models to analyze gene regulatory mechanisms
  • Reviews major algorithms for RNA secondary structure prediction, with a focus on ensemble-based approaches
  • Discusses how developments in the area of oligo arrays has led to a better understanding of the array mechanism and improvements in microarray data analysis
  • Examines the application of models of stochastic processes in nonequilibrium thermodynamics and biological signal transduction
  • Describes phylogenetic footprinting methods for TFBS identification, based on alignments
  • Introduces penalized regression-based methods for constructing genetic interaction or regulatory networks
  • Investigates the specific role played by irreversible Markov processes in modeling cellular biochemical systems
  • Explores the concept of gene modules in a transcriptional regulatory network

With reviews of current hot topics in computational biology and systems biology, supplied by an international selection of top researchers, this is an essential text for researchers and graduate students in computational biology, biology and mathematics.

Keywords

Computational Biology Probability Statistics System Biology algorithms genome

Editors and affiliations

  • Jianfeng Feng
    • 1
  • Wenjiang Fu
    • 2
  • Fengzhu Sun
    • 3
  1. 1.Centre for Scientific Computing, Dept. Computer Science & MathematicsWarwick UniversityCoventryUnited Kingdom
  2. 2.Dept. EpidemiologyMichigan State UniversityEast LansingUSA
  3. 3.Dept. Biological SciencesUniversity of Southern CaliforniaLos AngelesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84996-196-7
  • Copyright Information Springer-Verlag London Limited 2010
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84996-195-0
  • Online ISBN 978-1-84996-196-7
  • Series Print ISSN 1568-2684
  • About this book