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 Jacques Cohen - Brandeis University
The article aims to introduce computer scientists to the new field of bioinformatics. It provides a bird's eye view of the basic concepts in molecular cell biology and describes the kind of algorithms that are necessary to understand cell behavior.
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.