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Combinatorial pattern matching algorithms in computational biology using Perl and R /

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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...

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Bibliographic Details
Main Author: Valiente, Gabriel, 1963-
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Language Notes:English.
Published: Boca Raton : CRC Press, ©2009.
Series:Chapman and Hall/CRC mathematical & computational biology series.
Subjects:
Computational biology.
Pattern formation (Biology) > Computer simulation.
Graph algorithms.
Perl (Computer program language)
R (Computer program language)
Bioinformatics.
Programming languages (Electronic computers)
Digital computer simulation.
Computer simulation.
Algorithms.
Computer algorithms.
Computational Biology
Programming Languages
Computer Simulation
Algorithms
Bio-informatique.
Formation des modèles (Biologie) > Simulation par ordinateur.
Algorithmes de graphes.
Perl (Langage de programmation)
R (Langage de programmation)
Langages de programmation.
Simulation par ordinateur.
Algorithmes.
simulation.
algorithms.
COMPUTERS > Bioinformatics.
Digital computer simulation
Computer simulation
Computer algorithms
Bioinformatics
Computational biology
Graph algorithms
Pattern formation (Biology) > Computer simulation
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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 deve.
Item Description:"A Chapman & Hall book."
Physical Description:1 online resource (352 pages) : illustrations
Bibliography:Includes bibliographical references (pages 339-349) and index.
ISBN:9781420069747
1420069748
9781420069730
142006973X
9781466528703
1466528702
0429145608
9780429145605