Neuware - 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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Detalles bibliogr�ficos

T�tulo: Bioinformatics Methods and Protocols
Editor: Humana Press Aug 1999
Fecha de publicaci�n: 1999
Idioma: Ingl�s
ISBN 10: 0896037320
ISBN 13: 9780896037328
Encuadernaci�n: Buch
Estado: Neu

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Sinopsis

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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In Bioinformatics: Methods and Protocols, hands-on users and experts survey the key biological software packages, offering useful tips and an overview of current developments. Among the sequence analysis systems reviewed are GCG, Omiga, MacVector, DNASTAR, PepTool, GeneTool, and Staden. Molecular biology software includes Genotator and sequence-similarity searching using FASTA, CLUSTAL multiple sequence alignment, and phylogenic analysis. Web-based resources are examined for primary sequence databases, primary sequence analysis methods, and clinical databases useful in molecular medicine. The book also includes a set of guidelines for designing and teaching an introductory bioinformatics course and numerous illustrative examples to teach the reader how to solve problems.

Bioinformatics: Methods and Protocols offers to experienced and novice biologists a broad overview of the computational tools that have reshaped modern biology. It constitutes a gold-standard reference for today's scientists who wish to develop and hone their bioinformatics skills towards the discovery of new biological relationships.

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