Computational Genomics : Current Methods book cover
1st Edition

Computational Genomics
Current Methods

Edited By

Nikola Stojanovic

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ISBN 9781904933304
Published July 16, 2007 by Taylor & Francis
200 Pages 14 B/W Illustrations

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Book Description

Computational Genomics: Current Methods outlines the major issues and techniques that have emerged in genomics and bioinformatics over the last few years. It is aimed at the advanced reader and presents the most recent and up-to-date applications, technologies and resources.

It opens with an overview of the current state of comparative genomics and an account of the issues involved in the analysis of newly sequenced genomes. Other topics cover the recent methods used in the study of mobile DNA elements, motif finding and the characterization of segments within DNA sequences, theoretical considerations and techniques in the construction and analysis of sequence alignments, and the methods for processing microarray data. Also included is an overview of the computational issues involved in the study of HIV. The last part of the book provides an overview of the resources and technologies aimed to facilitate core genomics research: databases and supercomputing applications, the focus being on emerging technologies such as the interconnecting of resources, the development of meta-databases and data exchange protocols. The book concludes with a review of networking technologies and resources, as well as some of the applications of distributed computing in genomics.

Table of Contents

1. Comparative Genomics : Identifying Functional Elements Through Conservation  2. Computational Analysis and Paleogenomics of Interspersed Repeats in Eukaryotes  3. Eukaryotic Transcriptional Regulation : Signals, Interactions and Modules  4. Genomic Sequence Analysis : A Case Study in Constrained Heaviest Segments  5. A Survey of Sequence Alignment  6. Computational Challenges of Microarray Analysis  7. Computational Analysis of HIV Molecular Sequences  8. Biological Databases  9. Distributed Computational Biology : Clusters and Grids

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