Caister Academic Press

Frontiers in Computational Genomics | Book

Publisher: Caister Academic Press
Edited by: Michael Y. Galperin and Eugene V. Koonin
National Center for Biotechnology Information, Bethesda
Pages: xii + 346
Hardback:
Publication date: January 2003Buy book
ISBN: 978-0-9542464-4-0
Price: GB £159 or US $319
Frontiers in Computational Genomics  book
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Computational biology and bioinformatics form a major, integral part of genomics. From sequence fragment assembly, to gene prediction, to prediction of protein functions and structure, to identification of regulatory signals in DNA, to building phylogenetic trees, it would not be an exaggeration to state that genomics is primarily computational. Major new programs, software and internet facilities have evolved recently that facilitate computational analysis and more novel technologies are currently being developed. Written by experts in the field, this volume highlights research on the emerging, perhaps somewhat controversial, topics in genomics and shows the feedback between the new developments and the established methods of computational biology.

An essential book for anyone involved in genomic science or bioinformatics.

Reviews

"a good reference book and a welcome volume for those serious about genomics." from ChemBioChem 5: 546-547.

"Written by experts in the field .... This book is considered an essential book for everyone involved in genomic science or bioinformatics" from CAB Abstracts

"... it would be a valuable addition to any lab or departmental library." from Microbiology Today 30: 144 (August 2003).

"The book .... brings together, in 11 chapters, new developments and topics in the field, and aims to show how they complement, enrich, and feed back on established methods. ... written by experts in the field, will certainly be of interest to researchers involved in both experimental and computational genomics" from International J. Med. Microbiol. (2003) 293: 4.

"The Functional Genomics Series describes the state-of-the-art of technical means to efficiently analyse sequence information - provided by the nascent disciplines of bioinformatics and computational biology - and the need to fit the genomic pieces into the puzzle of biological function, resulting in an understanding of the functioning of complex systems of genes and macromolecules." from International Microbiology (2003) 6: 75-78.

"... a compendium of computational methods. ... The book reflects the different faces of computational genomics and illustrates the difficulties of converting data into valuable biological knowledge." from International Microbiology (2003) 6: 75-78.

"This timely book explores recent, pioneering activities in computational biology, emphasizing studies of genome evolution, where wet lab work is difficult or impossible" from Heredity (2003) 91: 542-543.

"I feel that knowledge is being systematically and purposefully advanced by this work. ... I feel that it is worth reading." from BioEssays (2003) 25: 734.

Table of contents
1. Gene Prediction Accuracy in Large DNA Sequences.
Roderic Guigó and Thomas Wiehe
2. Sensitive Protein Alignment Algorithms.
Adam Godzik
3. Measuring Generality of Knowledge-Based Potential Extracted from Protein Structure Sets.
Frank Eisenhaber, Shamil R. Sunyaev, Vladimir G. Tumanyan, and Eugene N. Kuznetsov
4. Protein Structure Modeling in Functional Genomics.
Jürgen Kopp, Manuel C. Peitsch and Torsten Schwede
5. Identifying Domains, Repeats and Motifs from Protein Sequences.
Chris P. Ponting and Alex Bateman
6. Exploiting the Variations in the Genomic Associations of Genes to Predict Pathways and Reconstruct their Evolution.
Martijn A. Huynen and Berend Snel
7. Using Genomic Context in the Analysis of Multi-Component Systems.
Natalie D. Fedorova, Anastasia N. Nikolskaya, and Michael Y. Galperin
8. Prolegomena to the Evolution of Transcriptional Regulation in Bacterial Genomes.
Mikhail S. Gelfand and Olga N. Laikova
9. Experimental RNomics.
Alexander Hüttenhofer and Jürgen Brosius
10. Genome-Scale Phylogenetic Trees.
Yuri I. Wolf, Igor B. Rogozin, Nick V. Grishin, and Eugene V. Koonin
11. Mathematical Modeling of the Evolution of Domain Composition of Proteomes: A Birth-and-Death Process with Innovation.
Georgy P. Karev, Yuri I. Wolf, Andrey Y. Rzhetsky, Faina S. Berezovskaya, and Eugene V. Koonin

How to buy this book

(EAN: 9780954246440 Subjects: [genomics] [molecular microbiology] [bioinformatics] [molecular biology] )