Sequence Data Analysis Guidebook

Swindell, Simon R.

ISBN 10: 0896033589 / ISBN 13: 9780896033580

Published by Humana Press Inc., 1996

About this Item

Summaraizes methods for successfully using sequence analysis software packages. This work shows how to examine the data produced by automated sequencers, how to assess its quality, how to remove extraneous data, how to align multiple overlapping sequence fragments for either assembly into sequence contigs or comparison with similar sequences. Series: Methods in Molecular Biology. Num Pages: 324 pages, biography. BIC Classification: PDN; PSF; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 148 x 20. Weight in Grams: 653. . 1996. Hardback. . . . .

Seller Inventory # V9780896033580

Bibliographic Details

• Title: Sequence Data Analysis Guidebook
• Publisher: Humana Press Inc.
• Publication Date: 1996
• Language: English
• ISBN 10: 0896033589
• ISBN 13: 9780896033580
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.

Synopsis

Leading researchers concisely summarize their hands-on experiences and methods for successfully using the most popular sequence analysis software packages available. These experts demonstrate how to examine the data produced by modern automated sequencers, how to assess its quality, how to remove extraneous data, how to align multiple overlapping sequence fragments for either assembly into sequence contigs or comparison with similar sequences from different sources. Procedures for comparing newly derived sequences with the massive amounts of information in the sequence databases are fully covered, as are techniques for performing restriction analysis, searching for open reading frames, calculating the translation products of open reading frames, and making detailed analyses of the expressed "proteins".