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Item Details
Title: COMBINATORIAL PATTERN MATCHING ALGORITHMS IN COMPUTATIONAL BIOLOGY USING PERL AND R
By: Gabriel Valiente, Louis J. Gross, Suzanne Lenhart
Format: Hardback

List price: £200.00
Our price: £180.00
Discount:
10% off
You save: £20.00
ISBN 10: 142006973X
ISBN 13: 9781420069730
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS LTD
Pub. date: 1 April, 2009
Series: Chapman & Hall/CRC Mathematical & Computational Biology v. 22
Pages: 368
Description: Emphasizing the search for patterns within and between biological sequences, trees, and graphs, this book shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis of genomic, transcriptomic, proteomic, metabolomic, and interactomic data.
Synopsis: Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis of genomic, transcriptomic, proteomic, metabolomic, and interactomic data. It implements the algorithms in Perl and R, two widely used scripting languages in computational biology. The book provides a well-rounded explanation of traditional issues as well as an up-to-date account of more recent developments, such as graph similarity and search. It is organized around the specific algorithmic problems that arise when dealing with structures that are commonly found in computational biology, including biological sequences, trees, and graphs. For each of these structures, the author makes a clear distinction between problems that arise in the analysis of one structure and in the comparative analysis of two or more structures. He also presents phylogenetic trees and networks as examples of trees and graphs in computational biology.This book supplies a comprehensive view of the whole field of combinatorial pattern matching from a computational biology perspective. Along with thorough discussions of each biological problem, it includes detailed algorithmic solutions in pseudo-code, full Perl and R implementation, and pointers to other software, such as those on CPAN and CRAN.
Illustrations: 89 black & white illustrations
Publication: US
Imprint: Chapman & Hall/CRC
Returns: Returnable
Some other items by this author:
ALGORITHMS IN BIOINFORMATICS (HB)
ALGORITHMS ON TREES AND GRAPHS
ALGORITHMS ON TREES AND GRAPHS (HB)
ALGORITHMS ON TREES AND GRAPHS (HB)
ALGORITHMS ON TREES AND GRAPHS (PB)
AN DYNAMICAL SYSTEMS FOR BIOLOGICAL MODELING (HB)
APPLIED MATHEMATICAL ECOLOGY (PB)
BIOINFORMATICS FOR BIOLOGISTS (HB)
BIOLOGICAL COMPUTATION (HB)
COMBINATORIAL PATTERN MATCHING (PB)
COMBINATORIAL PATTERN MATCHING ALGORITHMS IN COMPUTATIONAL BIOLOGY USING PERL AND R
ENCYCLOPEDIA OF THEORETICAL ECOLOGY (HB)
GENE EXPRESSION STUDIES USING AFFYMETRIX MICROARRAYS (HB)
HANDBOOK OF CHEMOINFORMATICS ALGORITHMS (HB)
INTRODUCTION TO COMPUTATIONAL PROTEOMICS (HB)
MATHEMATICS FOR THE LIFE SCIENCES
MATHEMATICS FOR THE LIFE SCIENCES (HB)
MODELING PARADIGMS AND ANALYSIS OF DISEASE TRANSMISSION MODELS (HB)
OPTIMAL CONTROL APPLIED TO BIOLOGICAL MODELS
OPTIMAL CONTROL APPLIED TO BIOLOGICAL MODELS (HB)
PRACTICAL GUIDE TO PROTEIN BIOINFORMATICS (HB)
SOME MATHEMATICAL QUESTIONS IN BIOLOGY (PB)

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