Fr. 232.80

Sequence Data Analysis Guidebook

English · Hardback

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Description

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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."

List of contents










GeneJockeyll.- The Genetic Data Environment.- ABI Analysis.- SeqEd.- From ABI Sequence Data to LASERGENE's EDITSEQ.- SEQMAN.- GeneJockeyll.- AutoAssembler Sequence Assembly Software.- MEGALIGN.- GeneJockeyII.- GeneJockeyII.- Sequence Navigator.- The European Bioinformatics Institute.- GeneAssist.- GENEMAN of LASERGENE.- GeneJockeyII.- GeneJockeyII.- GeneJockeyII.- PROTEAN.- MAPDRAW.- The Gene Construction Kit.- GeneJockeyII.- OLIGO.- PRIME.- PRIMERSELECT.- The European Bioinformatics Institute.

Summary

Computers have revolutionized the analysis of sequencing 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.

Product details

Assisted by Simo R Swindell (Editor), Simon R Swindell (Editor), Simon Swindell (Editor), Simon R Swindell (Editor), Simon R. Swindell (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 01.01.1996
 
EAN 9780896033580
ISBN 978-0-89603-358-0
No. of pages 324
Weight 702 g
Series Methods in Molecular Biology
Methods in Molecular Biology
Subjects Natural sciences, medicine, IT, technology > Medicine > General

Biologie, Biowissenschaften, SCIENCE / Life Sciences / Biology, Medical / Nursing, MEDICAL / Reference

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