Building Bioinformatics Solutions
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Product details:
- Edition number 2
- Publisher OUP Oxford
- Date of Publication 16 January 2014
- ISBN 9780199658565
- Binding Paperback
- No. of pages366 pages
- Size 245x190x19 mm
- Weight 702 g
- Language English 0
Categories
Short description:
This book introduces the reader to all the key concepts and technologies needed to begin developing their own bioinformatics tools. The new edition includes more bioinformatics-specific content and a new chapter on good software engineering practices to help people working in teams.
MoreLong description:
Bioinformatics encompasses a broad and ever-changing range of activities involved with the management and analysis of data from molecular biology experiments. Despite the diversity of activities and applications, the basic methodology and core tools needed to tackle bioinformatics problems is common to many projects. This unique book provides an invaluable introduction to three of the main tools used in the development of bioinformatics software - Perl, R and MySQL - and explains how these can be used together to tackle the complex data-driven challenges that typify modern biology. These industry standard open source tools form the core of many bioinformatics projects, both in academia and industry. The methodologies introduced are platform independent, and all the examples that feature have been tested on Windows, Linux and Mac OS.
Building Bioinformatics Solutions is suitable for graduate students and researchers in the life sciences who wish to automate analyses or create their own databases and web-based tools. No prior knowledge of software development is assumed. Having worked through the book, the reader should have the necessary core skills to develop computational solutions for their specific research programmes. The book will also help the reader overcome the inertia associated with penetrating this field, and provide them with the confidence and understanding required to go on to develop more advanced bioinformatics skills.
Table of Contents:
Introduction
Building Biological Databases with SQL
Beginning Programming in Perl
Numerical data analysis using R
Developing Web Resources
Software Engineering for Bioinformatics
Appendix A: Using Command Line Interfaces
Appendix B: Getting started with Apache HTTP Server
Appendix C: Setting up a Linux Virtual Machine in Windows