u003cpu003eHistorically, programming hasn't been considered a critical skill for biologists. But now, with access to vast amounts of biological data contained in public databases, programming skills are increasingly in strong demand in biology research and development. Perl, with its highly developed capacities in string handling, text processing, networking, and rapid prototyping, has emerged as the programming language of choice for biological data analysis.u003cbru003eu003c/pu003e u003cpu003eu003ciu003eMastering Perl for Bioinformaticsu003c/iu003e 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 u003ciu003eBeginning Perl for Bioinformaticsu003c/iu003e, 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. u003c/pu003e u003cpu003eThe range of topics covered in u003ciu003eMastering Perl for Bioinformaticsu003c/iu003e prepares the reader for enduring and emerging developments in critical areas of bioinformatics programming such as:u003c/pu003eu003culu003eu003cliu003eGene findingu003c/liu003e u003cliu003eString alignmentu003c/liu003e u003cliu003eMethods of data storage and retrieval (SML and databases)u003c/liu003e u003cliu003eModeling of networks (graphs and Petri nets)u003c/liu003e u003cliu003eGraphics (Tk)u003c/liu003e u003cliu003eParallelizationu003c/liu003e u003cliu003eInterfacing with other programming languagesu003c/liu003e u003cliu003eStatistics (PDL)u003c/liu003e u003cliu003eProtein structure determinationu003c/liu003e u003cliu003eBiological models of computation (DNA Computers)u003c/liu003eu003c/ulu003e Biologists and computer scientists who have conquered the basics of Perl and are ready to move even further in their mastery of this versatile language will appreciate the author's well-balanced approach to applying Perl's analytical abilities to the field of bioinformatics. Full of practical examples and real-world biological problem solving, this book is a must for any reader wanting to move beyond beginner level Perl in bioinformatics.