CRC Press; Boca Raton, 2009. Hardcover. A Very Good, binding sturdy and intact, some handling/scuff marks to boards, slightly bumped top spine edge, faint smudge mark top text block edge and fore-edge, small dent bottom rear board edge, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 352pp., references, indexed. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.

Bestandsnummer des Verk�ufers SKU1037481

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Bibliografische Details

Titel

Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R (Chapman & Hall/CRC Computational Biology Series)

Verlag

Chapman and Hall/CRC

Erscheinungsjahr

2009

Sprache

Englisch

ISBN-10

142006973X

ISBN-13

9781420069730

Einband

hardcover

Zustand

Very Good

Verk�uferkataloge

Math Text Books

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Inhaltsangabe

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.

�ber die Autorin bzw. den Autor

Gabriel Valiente is Associate Professor in the Department of Software at the Technical University of Catalonia. His research interests include computational biology, bioinformatics, exact and approximate matching in graphs and patterns, and graph transformation.

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