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Building Bioinformatics Solutions: with Perl, R and MySQL

Conrad Bessant  (Author), Ian Shadforth (Author), Darren Oakley (Author)

• Platform independent: suitable for readers running Windows, Linux or Mac OS
• No commercial software is required as the book is entirely based on open source tools: Perl, R and SQL
• Broad coverage of biological applications including sequence analysis, micro array informatics and proteomics
• Illustration of key concepts using examples from real biological data and applications
• A practical problem-solving focus ensures the book is ideal for graduate courses
• Assumes no prior programming experience
• New to this edition
• Now contains more bioinformatics-specific content
• Includes a new chapter on good software engineering practices to help people working in teams
  

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.
Readership: This is an upper level text suitable for graduate students and researchers in the life sciences who wish to automate analyses, create their own databases, or develop their own web-based tools.



368 pages | 246x189mm
978-0-19-965855-8 | Hardback | 16 January 2014
Also available as: Paperback | eBook