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Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R (Paperback)
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Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R (Paperback)
Series: Chapman & Hall/CRC Computational Biology Series
Expected to ship within 12 - 17 working days
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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 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.
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