Computational Methods in Molecular Biology - Couverture souple

 
9780444502049: Computational Methods in Molecular Biology
Couverture souple
ISBN 10 : 0444502041 ISBN 13 : 9780444502049
Editeur : Elsevier Science Ltd, 1999

Synopsis

Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities.This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms.The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book.A secondary audience will be computer scientists developing techniques with applications in biology.An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.

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Présentation de l'éditeur

Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities.
This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms.
The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book.
A secondary audience will be computer scientists developing techniques with applications in biology.
An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.

Revue de presse

...Clear and easy to follow, designed specifically for the non computer scientist, it will help biologists make better choices on which algorithm to use.
Documentation
(...)an impressive selection of papers, all authored by leading bioinformaticians. The volume covers this large multi-disciplinary field of research quite well, from sequence alignment, pattern discovery, gene finding to protein structure.
Trends in Genetics
(A. Lloyd, INCBI, the Irish EMBnet Node)
The editors have decided to choose authors who have contributed effective software to the community. This horse's mouth approach has the advantage of getting really authoritative explanations of the problems and their solutions.(...)significant effort has been made to introduce each topic in general terms before ploughing deeper into the structure, constraints and functions of biological molecules.
Briefings In Bioinformatics, Vol. 1, No. 3

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Elsevier Science Ltd
Date d'édition
1999
Langue
anglais
ISBN 10 
0444502041
ISBN 13 
9780444502049
Reliure
Broché
Nombre de pages
368
Éditeur
Salzberg S.L., Searls D.B., Kasif S.
Coordonnées du fabricant
Elsevier GmbH
https://www.elsevier.com/

Jägerstraße 41
Berlin
Berlin
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