Bioinformatics Programming in Python: A Practical Course for Beginners - Softcover

Über die Autorin bzw. den Autor

Rüdiger-Marcus Flaig studied Biology at the University of Heidelberg (Germany) where he obtained a Sc.D. degree, followed by a Ph.D. degree from the German Cancer Research Center. After postdoctoral work at the Universities of Gießen and Heidelberg he trained as a patent attorney and is now handling biotech patent applications for the European Patent Office in Munich. From 2003 to 2005 he developed and repeatedly taught a course on bioinformatics programming for biology students.

Von der hinteren Coverseite

In the post-genomic era, every biologist is faced with the task of complex data analysis and interpretation. Often a simple yet tailor-made computer algorithm can work wonders and make a complex task easy. As a consequence, more and more biologists have begun to write small programs, using such script-based languages as Perl and Python.

This first introductory book designed to train biology students without previous experience in programming is based on a student course given by the author, and teaches essential skills for life scientists who want ― or need ― to write their own bioinformatics software tools.

By interspersing theory chapters with numerous small and large programming exercises, the author quickly shows readers how to do their own programming, and makes use throughout of anecdotes and real-life examples from the biosciences to optimize the text for biologists.

Aus dem Klappentext

In the post-genomic era, every biologist is faced with the task of complex data analysis and interpretation. Often a simple yet tailor-made computer algorithm can work wonders and make a complex task easy. As a consequence, more and more biologists have begun to write small programs, using such script-based languages as Perl and Python.
This first introductory book designed to train biology students without previous experience in programming is based on a student course given by the author, and teaches essential skills for life scientists who want -- or need -- to write their own bioinformatics software tools.
By interspersing theory chapters with numerous small and large programming exercises, the author quickly shows readers how to do their own programming, and makes use throughout of anecdotes and real-life examples from the biosciences to optimize the text for biologists.