Frontiers in Computational and Systems Biology

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

Overview

Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual’s susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially leadto the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, first of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations.

Product Details

ISBN-13:	9781849961950
Publisher:	Springer London
Publication date:	06/22/2010
Series:	Computational Biology , #15
Edition description:	2010
Pages:	24
Product dimensions:	6.10(w) x 9.20(h) x 1.10(d)

Table of Contents

Analysis of Combinatorial Gene Regulation with Thermodynamic Models.- RNA Secondary Structure Prediction and Gene Regulation by Small RNAs.- Some Critical Data Quality Control Issues of Oligoarrays.- Shastic-Process Approach to Nonequilibrium Thermodynamics and Biological Signal Transduction.- Granger Causality: Theory and Applications.- Transcription Factor Binding Site Identification by Phylogenetic Footprinting.- Learning Network from High-Dimensional Array Data.- Computational Methods for Predicting Domain–Domain Interactions.- Irreversible Shastic Processes, Coupled Diffusions and Systems Biochemistry.- Probability Modeling and Statistical Inference in Periodic Cancer Screening.- On Construction of the Smallest One-sided Confidence Intervals and Its Application in Identifying the Minimum Effective Dose.- Group Variable Selection Methods and Their Applications in Analysis of Genomic Data.- Modeling Protein-Signaling Networks with Granger Causality Test.- DNA Copy Number Profiling in Normal and Tumor Genomes.- Spatial Disease Surveillance: Methods and Applications.- From QTL Mapping to eQTL Analysis.- An Evaluation of Gene Module Concepts in the Interpretation of Gene Expression Data.- Readout of Spike Waves in a Microcolumn.- False Positive Control for Genome-Wide ChIP-Chip Tiling Arrays.

Editorial Reviews

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)

From the Publisher