附註:Cover -- Preface -- Contents -- Chapter 1 Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm -- 1.1 Introduction -- 1.2 Algorithmic Implementation -- Population -- Basic Algorithm -- Additional Features -- 1.3 Data Generation and Analysis -- Exemplary Biological Systems -- Population Dynamics and Interactive Visualization -- Stem Trace and Structurelab -- Single Run Analysis -- Multiple Run Analysis -- Multiple Population Size Analysis -- 1.4 Biological Application -- PSTVd -- hok/sok -- 1.5 Conclusions -- Acknowledgment -- References -- Authors' Addresses -- Chapter 2 Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication -- 2.1 Introduction -- 2.2 Background -- Chemistry and Biology of DNA -- DNA as a Structural Material -- Design of Base Sequences for DNA Nanoconstruction -- 2.3 Experiments and Applications -- DNA-based Computation -- Algorithmic Self-Assembly -- Patterned DNA Nanostructures -- Patterned Immobilization of Other Materials on DNA Arrays -- 2.4 Summary and Future Directions -- Possible Future Applications -- Acknowledgments -- References -- Author's Address -- Chapter 3 Mapping Sequence to Rice FPC -- 3.1 Introduction -- 3.2 Overview of FPC -- 3.3 Mapping Sequence to FPC contigs -- FSD (FPC Simulated Digest) -- BSS (BLAST Some Sequence) -- Merging contigs -- Anchoring contigs -- WebFPC -- 3.4 Discussion -- Acknowledgments -- References -- Authors' Addresses -- Chapter 4 Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison -- 4.1 Introduction -- 4.1.1 Database search as a genome annotation tool -- 4.1.2 Clustering algorithms as a genome annotation tool -- 4.2 Preliminaries -- 4.3 Sequence Clustering Algorithms Based on Graph Theory -- 4.3.1 Matsuda, Ishihara, and Hashimoto algorithm -- 4.3.2 Matsuda algorithm -- 4.3.3 COG: cluster of orthologous groups -- 4.3.4 GeneRAGE -- 4.4 A New Graph Theoretic Sequence Clustering Algorithm -- 4.4.1 The ba
Includes bibliographical references and index.
摘要:This study 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 modelling, and phyloinformatics. The important work of some representative researchers in bioinformatics is brought together. 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 work 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.
