Bioinformatics: An Introduction for Computer Scientists
by Jacques Cohen
Publisher: Brandeis University 2004
Number of pages: 37
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, outlines the nature of the existing data, and describes the kind of computer algorithms and techniques that are necessary to understand cell behavior.
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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 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.
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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.
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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.