计算生物学及基因信息学COMPUTATIONAL BIOLOGY AND GENOME INFORMATICS

书籍目录

PrefaceChapter 1  Exploring RNA Intermediate Conformations with the  Massively Parallel Genetic Algorithm  Bruce A. Shapiro, David Bengali, Wojciech Kasprzak  and Jin Chu WuChapter 2  Introduction to Self-Assembling DNA Nanostructures  for Computation and Nanofabrication  Thomas H. LaBeanChapter 3  Mapping Sequence to Rice FPC  Carol Soderlund, Fred Engler, James Hatfield,  Steven Blundy, Mingsheng Chen, Yeisoo Yu  and Rod WingChapter 4  Graph Theoretic Sequence Clustering Algorithms and  Their Applications to Genome Comparison  Sun KimChapter 5  The Protein Information Resource for Functional  Genomics and Proteomics  Cathy H. WuChapter 6  High-Grade Ore for Data Mining in 3d Structures  Jane S. Richardson and David C. RichardsonChapter 7  Protein Classification: A Geometric Hashing Approach  Xiong Wang and Jason T. L. WangChapter 8  Interrelated Clustering: An Approach for Gene  Expression Data Analysis  Chun Tang, Li Zhang, Aidong Zhang and  Murali RamanathanChapter 9  Creating Metabolic Network Models Using Text  Mining and Expert Knowledge  J.A. Dickerson, D. Berleant, Z. Cox, W. Qi,  D. Ashlock, E.S. Wurtele and A. W. FulmerChapter 10 Phyloinformatics and Tree Networks  William H. PielIndex

作者简介

This book contains articles written by experts on a wide range of topics that are associated with the analysis and management of biological information at the molecular level. It contains chapters on RNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expression data mining, metabolic network modeling, and phyloinformatics. The important work of some representative researchers in bioinformatics is brought together for the first time in one volume. The topic is treated in depth and is related to, where applicable, other emerging technologies such as data mining and visualization. The goal of the book is to introduce readers to the principle techniques of bioinformatics in the hope that they will build on them to make new discoveries of their own. Contents: Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm; Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication; Mapping Sequence to Rice FPC; Graph Theoretic Sequence Clustering Algorithms and their Applications to Genome Comparison; The Protein Information Resource for Functional Genomics and Proteomics; High-Grade Ore for Data Mining in 3D Structures; Protein Classification: A Geometric Hashing Approach; Interrelated Clustering: An Approach for Gene Expression Data Analysis; Creating Metabolic Network Models Using Text Mining and Expert Knowledge; Phyloinformatics and Tree Networks. Readership: Molecular biologists who rely on computers and mathematical scientists with interests in biology.

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