Mastering Perl for Bioinformatics covers the core Perl language and many of its module extensions, presenting them in the context of biological data and problems of pressing interest to the biological community. This book, along with Beginning Perl for Bioinformatics, forms a basic course in Perl programming. This second volume finishes the basic Perl tutorial material (references, complex data structures, object-oriented programming, use of modules--all presented in a biological context) and presents some advanced topics of considerable interest in bioinformatics. The range of topics covered in Mastering Perl for Bioinformatics prepares the reader for enduring and emerging developments in critical areas of bioinformatics programming such as: Gene finding; String alignment; Methods of data storage and retrieval (SML and databases); Modeling of networks (graphs and Petri nets); Graphics (Tk); Parallelization; Statistics (PDL).
Mastering Perl for Bioinformatics
http://www.amazon.com/exec/obidos/ASIN/0596003072/bigwebmasters-20
http://www.bigwebmaster.com/screenshots/0596003072.jpg
June, 2003
$27.97
$39.95
504
1st edition
0596003072
O'Reilly & Associates
James D. Tisdall
Protein structure determination, Biological models of computation, Perl DNA Computers, bioinformatics perl reference
Core Perl language using biological data and problems
Mastering Perl for Bioinformatics covers the core Perl language and many of its module extensions, presenting them in the context of biological data and problems of pressing interest to the biological community. This book, along with Beginning Perl for Bioinformatics, forms a basic course in Perl programming. This second volume finishes the basic Perl tutorial material (references, complex data structures, object-oriented programming, use of modules--all presented in a biological context) and presents some advanced topics of considerable interest in bioinformatics. The range of topics covered in Mastering Perl for Bioinformatics prepares the reader for enduring and emerging developments in critical areas of bioinformatics programming such as: Gene finding; String alignment; Methods of data storage and retrieval (SML and databases); Modeling of networks (graphs and Petri nets); Graphics (Tk); Parallelization; Statistics (PDL).
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