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 Karol Kozak - BookBoon
This book is for scientists and students who are learning computational approaches to biology. It covers the data storage system, computational approaches to biological problems, workflow systems, data mining, data visualization, and more.
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)
- National Institute of Health
By teaming computers and biology, scientists can answer new and old questions that could offer insights into the fundamental processes that keep us alive. This booklet introduces you to just some of the ways that biologists are computing life.
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.