Python course in Bioinformatics
by Katja Schuerer, Catherine Letondal
Publisher: Pasteur Institute 2008
Number of pages: 182
This course is designed for biologists who already have some programming knowledge, in other languages such as Perl or C. The focus is on biological examples that are used throughout the course, as well as the suggested exercises drawn from the field of biology.
Download or read it online for free here:
by Heitor S. Lopes, Leonardo M. Cruz - InTech
The rise of a new discipline, bioinformatics, brings together molecular biology, biotechnology and information technology. This book presents some theoretical issues, reviews, and a variety of bioinformatics applications.
by Eugenia G. Giannopoulou - InTech
This book brings together the most recent advances of data mining research in the promising areas of medicine and biology. It consists of seventeen chapters which describe interesting applications, motivating progress and worthwhile results.
by Yasuhiro Suzuki, Toshiyuki Nakagaki - Springer
This volume covers various aspects of natural computing, ranging from computing with slime mold, artificial chemistry, eco-physics, and synthetic biology, to computational aesthetics. (Proceedings in Information and Communications Technology)
by Eric S. Lander, Michael S. Waterman - National Academies Press
Leading experts look at how mathematical methods have made possible important discoveries in biology. Explores how differential geometry, topology, and differential mechanics have allowed researchers to unwind and understand DNA's double helix.