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Modern 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. Building Bioinformatics Solutions provides a comprehensive introduction to this methodology, explaining how to acquire and use the most popular development tools, how to apply them to build processing pipelines, and how to make the results available through visualizations and web-based services for deployment either locally or via the Internet. The main development tools covered in this book are the MySQL database management system, the Perl programming language, and the R language for statistical computing. 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.This advanced textbook 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.
This book investigates the core methodologies and software tools required to manage, analyze, and visualize molecular biology data effectively. The authors, Conrad Bessant, Darren Oakley, and Ian Shadforth, leverage their expertise to provide a structured framework for researchers to build custom computational pipelines. By integrating MySQL, Perl, and R, the text argues that a foundational understanding of these open-source tools allows life science professionals to automate complex research tasks without requiring prior software development experience.
What You Will Find
Experts identify this work as a foundational resource for graduate students and researchers transitioning into computational biology. Readers frequently note the practical utility of the step-by-step examples provided for building functional bioinformatics solutions.
Page Count:
254
Publication Date:
2009-02-28
Publisher:
Oxford University Press
ISBN-10:
0199230196
ISBN-13:
9780199230198
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