Computational Biology and Applied Bioinformatics
by Heitor S. Lopes, Leonardo M. Cruz
Publisher: InTech 2011
Number of pages: 442
The rise of a new discipline, bioinformatics, brings together molecular biology, biotechnology and information technology. This book presents some theoretical issues, reviews, and a variety of bioinformatics applications.
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- 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.
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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.
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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.