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Beginning Perl for Bioinformatics
An Introduction to Perl for Biologists
Notes
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- Table of Contents
- + Preface
- + Biology and Computer Science
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+
Getting Started with Perl
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+
The Art of Programming
- + Sequences and Strings
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+
Motifs and Loops
- + Subroutines and Bugs
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+
Mutations and Randomization
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+
The Genetic Code
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+
Restriction Maps and Regular Expressions
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+
GenBank
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+
Protein Data Bank
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+
BLAST
- + Further Topics
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+
Resources
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+
Perl Summary
- Command Interpretation
- Comments
- + Scalar Values and Scalar Variables
- Assignment
- Statements and Blocks
- Arrays
- Hashes
- Operators
- Operator Precedence
- + Basic Operators
- + Conditionals and Logical Operators
- Binding Operators
- Loops
- + Input/Output
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+
Regular Expressions
- Scalar and List Context
- Subroutines and Modules
- Built-in Functions
- Index
With its highly developed capacity to detect patterns in data, Perl has become one of the most popular languages for biological data analysis. 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 Simulating gene mutations using random number generators Regular expressions and finding motifs in data Arrays, hashes, and relational databases Regular expressions and restriction maps Using Perl to parse PDB records, annotations in GenBank, and BLAST output
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Book Details
Authors
Categories
Computers > Programming Languages > JavaScript
Publishers
Publication year : 2007
License: All rights reserved ©
Times read: 927

