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 Sabu M. Thampi - arXiv
Bioinformatics is a new discipline that addresses the need to manage and interpret the data that was massively generated by genomic research. This discipline represents the convergence of genomics, biotechnology and information technology.
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 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 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.