Frontiers in Computational and Systems Biology

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Jianfeng Feng, Wenjiang Fu, Fengzhu Sun
Springer Science & Business Media, 14.06.2010 - 24 Seiten
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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 lead to the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst 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.
 

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Inhalt

Analysis of Combinatorial Gene Regulation with Thermodynamic Models
1
RNA Secondary Structure Prediction and Gene Regulation by Small RNAs
18
Some Critical Data Quality Control Issues of Oligoarrays
39
StochasticProcess Approach to Nonequilibrium Thermodynamics and Biological Signal Transduction
60
Theory and Applications
83
Transcription Factor Binding Site Identification by Phylogenetic Footprinting
112
Learning Network from HighDimensional Array Data
133
Computational Methods for Predicting DomainDomain Interactions
157
Group Variable Selection Methods and Their Applications in Analysis of Genomic Data
231
Modeling ProteinSignaling Networks with Granger Causality Test
249
DNA Copy Number Profiling in Normal and Tumor Genomes
258
Methods and Applications
283
From QTL Mapping to eQTL Analysis
301
An Evaluation of Gene Module Concepts in the Interpretation of Gene Expression Data
330
Readout of Spike Waves in a Microcolumn
351
False Positive Control for GenomeWide ChIPChip Tiling Arrays
370

Irreversible Stochastic Processes Coupled Diffusions and Systems Biochemistry
174
Probability Modeling and Statistical Inference in Periodic Cancer Screening
203
On Construction of the Smallest Onesided Confidence Intervals and Its Application in Identifying the Minimum Effective Dose
219
Index
383
Color Plates
389
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