Sequence data analysis guidebook /
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Imprint: | Totowa, N.J. : Humana Press, ©1997. |
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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 |
Other authors / contributors: | Swindell, Simon R. |
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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. |
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