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.
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by Luke L. M. Heaton, at al. - arXiv
We present an algorithm for calculating the exact concentration of resource at any point in space or time, given that the resource in the network is lost or delivered out of the network at a given rate, while being subject to advection and diffusion.
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 Ramaswamy Palaniappan - BookBoon
This book covers biological signals and digital signal analysis techniques such as conditioning, filtering, feature extraction, classification and statistical validation for solving practical biological signal analysis problems using MATLAB.
- 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.