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 Arthur Gruber, et al. - National Center for Biotechnology Information
This book is intended to serve both as a textbook for bioinformatics courses and as a base for self-teaching. Each chapter addresses a specific problem in bioinformatics and consists of a theoretical part and a tutorial with practical applications.
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.
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.
- 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.