Beginning Perl For Bioinformatics Pdf
Where’s the cart? Now you can get everything on. To purchase books, visit Amazon or your favorite retailer. Or contact customer service: 1-800-889-8969 / 707-827-7019 With its highly developed capacity to detect patterns in data, Perl has become one of the most popular languages for biological data analysis.
Introduction to Pr ogramming: Perl for Biologists. Beginning Perl for Bioinformatics. Mastering Perl for Bioinformatics. Free Book Download: Beginning Perl for Bioinformatics PDF For Free, Download PDF e-Books For Free - Programming Ebooks - Medical Books.
But if you're a biologist with little or no programming experience, starting out in Perl can be a challenge. Many biologists have a difficult time learning how to apply the language to bioinformatics. The most popular Perl programming books are often too theoretical and too focused on computer science for a non-programming biologist who needs to solve very specific problems. Beginning Perl for Bioinformatics is designed to get you quickly over the Perl language barrier by approaching programming as an important new laboratory skill, revealing Perl programs and techniques that are immediately useful in the lab. Each chapter focuses on solving a particular bioinformatics problem or class of problems, starting with the simplest and increasing in complexity as the book progresses.
Each chapter includes programming exercises and teaches bioinformatics by showing and modifying programs that deal with various kinds of practical biological problems. By the end of the book you'll have a solid understanding of Perl basics, a collection of programs for such tasks as parsing BLAST and GenBank, and the skills to take on more advanced bioinformatics programming. Some of the later chapters focus in greater detail on specific bioinformatics topics. This book is suitable for use as a classroom textbook, for self-study, and as a reference. The book covers:. Programming basics and working with DNA sequences and strings. Debugging your code.
James D Tisdall
Simulating gene mutations using random number generators. Regular expressions and finding motifs in data. Arrays, hashes, and relational databases.
University Of Pennsylvania
Regular expressions and restriction maps. Using Perl to parse PDB records, annotations in GenBank, and BLAST output Table of Contents.