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Frontiers in Computational and Systems Biology
     

Frontiers in Computational and Systems Biology

by Jianfeng Feng (Editor), Wenjiang Fu (Editor), Fengzhu Sun (Editor)
 

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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

Overview

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 shastic 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.

Editorial Reviews

From the Publisher

From the reviews:

“This mosaic of reviews and research precisely reflects the dynamic field of computational and systems biology. All of the major organizational levels of life are represented … . Each chapter has a brief introduction to a biological subject, a review of the main mathematical and statistical models for that particular topic, and a description of the main applications and conclusions. There are an abundant number of references for each chapter. … This compilation … is likely to inspire generations of students, researchers, and readers.” (Adrian Pasculescu, ACM Computing Reviews, January, 2011)

Product Details

ISBN-13:
9781447125709
Publisher:
Springer London
Publication date:
09/05/2012
Series:
Computational Biology Series , #15
Edition description:
2010
Pages:
24
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

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