
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.
This book investigates how researchers in the life sciences can effectively manage and analyze biological data by mastering three core open-source programming tools. Conrad Bessant, an expert in the field, provides a structured framework for building computational solutions without requiring prior software development experience.
What You Will Find
Scope Limits
Experts highlight this as a foundational text for beginners in the life sciences who need to transition from manual data handling to automated computational workflows. Readers frequently note the accessibility of the prose, which successfully lowers the barrier to entry for researchers lacking a formal computer science background.
Page Count:
352
Publication Date:
2014-01-01
Publisher:
Oxford University Press
ISBN-10:
019164319X
ISBN-13:
9780191643194
No comments yet. Be the first to share your thoughts!