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Книги на английски > Mathematics & Science > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > Computational and Visualization Techniques for Structural Bioinformatics Using Chimera

Computational and Visualization Techniques for Structural Bioinformatics Using Chimera

Name: Computational and Visualization Techniques for Structural Bioinformatics Using Chimera
Brand: Taylor & Francis Ltd
SKU: 06677770
Price: 212.57 EUR
Availability: InStock
Author: Forbes J. Burkowski
ISBN: 9781439836613

Forbes J. Burkowski

Език

Английски език

Книга С твърди корици

Код Либристо: 06677770

Издателство Taylor & Francis Ltd, юли 2014

A Step-by-Step Guide to Describing Biomolecular StructureComputational and Visualization Techniques... Цялото описание

Код Либристо: 06677770

514 b

212.57 €

415.76 лв

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A Step-by-Step Guide to Describing Biomolecular Structure

Computational and Visualization Techniques for Structural Bioinformatics Using Chimera shows how to perform computations with Python scripts in the Chimera environment. It focuses on the three core areas needed to study structural bioinformatics: biochemistry, mathematics, and computation.

Understand Important Concepts of Structural Bioinformatics

The book covers topics that deal primarily with protein structure and includes many exercises that are grounded in biological problems at the molecular level. The text encourages mathematical analysis by providing a firm foundation for computations. It analyzes numerous Python scripts for the Chimera environment, with the scripts and other material available on a supplementary website.

Build Python Scripts to Extend the Capabilities of Chimera

Through more than 60 exercises that involve the development of Python scripts, the book gives you concrete guidance on using the scripting capabilities of Chimera. You’ll gain experience in solving real problems as well as understand the various applications of linear algebra. You can also use the scripts as starting points for the development of similar applications and use classes from the StructBio toolkit for computations, such as structure overlap, data plotting, scenographics, and display of residue networks.

Print Versions of this book also include access to the ebook version.