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Sequence Data Analysis Guidebook

SIMON R. SWINDELL

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ISBN 10: 1489943382 / ISBN 13: 9781489943385
Editorial: Humana Press, 2013
Nuevos Condición: NEW Encuadernación de tapa blanda
Librería: Herb Tandree Philosophy Books (Stroud, GLOS, Reino Unido)

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9781489943385 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. N° de ref. de la librería HTANDREE0830819

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Detalles bibliográficos

Título: Sequence Data Analysis Guidebook

Editorial: Humana Press

Año de publicación: 2013

Encuadernación: Paperback

Condición del libro:NEW

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Sinopsis:

Computers have revolutionized the analysis of sequencing data. It is unlikely that any sequencing projects have been performed in the last few years without the aid of computers. Recently their role has taken a further major step forward. Computers have become smaller and more powerful and the software has become simpler to use as it has grown in sophistication. This book reflects that change since the majority of packages described here are designed to be used on desktop computers. Computer software is now available that can run gels, collect data, and assess its accuracy. It can assemble, align, or compare multiple fragments, perform restriction analyses, identify coding regions and specific motifs, and even design the primers needed to extend the sequencing. Much of this soft­ ware may now be used on relatively inexpensive computers. It is now possible to progress from isolate d DNA to database submission without writing a single base down. To reflect this progression, the chapters in our Sequence Data Analysis Guidebook are arranged, not by software package, but by fimction. The early chapters deal with examining the data produced by modem automated sequenc­ ers, assessing its quality, and removing extraneous data. The following chap­ ters describe the process of aligning multiple sequences in order to assemble overlapping fragments into sequence contigs to compare similar sequences from different sources. Subsequent chapters describe procedures for compar­ ing the newly derived sequence to the massive amounts of information in the sequence databases.

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Fromehall Mill, Blk 2, Rm 9 - Lodgemore Lane - Stroud, Glos. GL5 3EH, U.K.
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