Bioinformatics Methods and Protocols

Name: Bioinformatics Methods and Protocols
Brand: Humana Press Inc.
SKU: 9781617371561
Price: 178.13 EUR
Availability: InStock

Автор: Stephen Misener, Stephen A. Krawetz

Език:

Корици: С меки корици

Издател: Humana Press Inc.

Наличност: Външен склад в ограничено количество

Изпращаме след 13-18 дни

178.13 € 348.40 лв

Computers have become an essential component of modern biology. They help to manage the vast and inc...

Информация за книгата

Автор

Stephen Misener, Stephen A. Krawetz

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

500

EAN

9781617371561

ISBN

1617371564

Enbook ID

02717267

Издател

Humana Press Inc.

Теглоt

751

Размери

152 x 229 x 29

Пълно описание

Computers have become an essential component of modern biology. They help to manage the vast and increasing amount of biological data and continue to play an integral role in the discovery of new biological relationships. This in silico approach to biology has helped to reshape the modern biological sciences. With the biological revolution now among us, it is imperative that each scientist develop and hone today s bioinformatics skills, if only at a rudimentary level. Bioinformatics Methods and Protocols was conceived as part of the Methods in Molecular Biology series to meet this challenge and to provide the experienced user with useful tips and an up-to-date overview of current developments. It builds upon the foundation that was provided in the two-volume set published in 1994 entitled Computer Analysis of Sequence Data. We divided Bioinformatics Methods and Protocols into five parts, including a thorough survey of the basic sequence analysis software packages that are available at most institutions, as well as the design and implemen- tion of an essential introductory Bioinformatics course. In addition, we included sections describing specialized noncommercial software, databases, and other resources available as part of the World Wide Web and a stimul- ing discussion of some of the computational challenges biologists now face and likely future solutions.

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