Sequence data analysis guidebook /

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Bibliographic Details
Imprint:Totowa, N.J. : Humana Press, ©1997.
Description:1 online resource (ix, 324 pages) : illustrations
Language:English
Series:Methods in molecular biology ; v. 70
Methods in molecular biology (Clifton, N.J.) ; v. 70.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11129126
Hidden Bibliographic Details
Other authors / contributors:Swindell, Simon R.
ISBN:0896033589
9780896033580
9781592595563
1592595561
1280836776
9781280836770
9786610836772
6610836779
Notes:Source of title; title from title screen.
Includes bibliographical references and index.
Restrictions unspecified
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212
English.
digitized 2010 HathiTrust Digital Library committed to preserve
Summary: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.
Other form:Sequence data analysis guidebook
Standard no.:10.1385/0896033589.