Literature DB >> 16239306

ConFind: a robust tool for conserved sequence identification.

James A Smagala1, Erica D Dawson, Martin Mehlmann, Michael B Townsend, Robert D Kuchta, Kathy L Rowlen.   

Abstract

SUMMARY: ConFind (conserved region finder) identifies regions of conservation in multiple sequence alignments that can serve as diagnostic targets. Designed to work with a large number of closely related, highly variable sequences, ConFind provides robust handling of alignments containing partial sequences and ambiguous characters. Conserved regions are defined in terms of minimum region length, maximum informational entropy (variability) per position, number of exceptions allowed to the maximum entropy criterion and the minimum number of sequences that must contain a non-ambiguous character at a position to be considered for inclusion in a conserved region. Comparison of the calculated entropy for an alignment of 95 influenza A hemagglutinin sequences with random deletions results in a 98% reduction in the average error in ConFind relative to the 'Find Conserved Regions' option in BioEdit. REQUIREMENTS: ConFind requires Python 2.3, but Python 2.4 or an upgrade of the optparse module to Optik 1.5 is suggested. The program is known to run under Linux and DOS.

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Year:  2005        PMID: 16239306     DOI: 10.1093/bioinformatics/bti719

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  6 in total

1.  Robust sequence selection method used to develop the FluChip diagnostic microarray for influenza virus.

Authors:  Martin Mehlmann; Erica D Dawson; Michael B Townsend; James A Smagala; Chad L Moore; Catherine B Smith; Nancy J Cox; Robert D Kuchta; Kathy L Rowlen
Journal:  J Clin Microbiol       Date:  2006-08       Impact factor: 5.948

2.  Experimental evaluation of the FluChip diagnostic microarray for influenza virus surveillance.

Authors:  Michael B Townsend; Erica D Dawson; Martin Mehlmann; James A Smagala; Daniela M Dankbar; Chad L Moore; Catherine B Smith; Nancy J Cox; Robert D Kuchta; Kathy L Rowlen
Journal:  J Clin Microbiol       Date:  2006-08       Impact factor: 5.948

3.  Detection of adamantane-resistant influenza on a microarray.

Authors:  Michael B Townsend; James A Smagala; Erica D Dawson; Varough Deyde; Larisa Gubareva; Alexander I Klimov; Robert D Kuchta; Kathy L Rowlen
Journal:  J Clin Virol       Date:  2008-03-04       Impact factor: 3.168

4.  SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments.

Authors:  Pravech Ajawatanawong; Gemma C Atkinson; Nathan S Watson-Haigh; Bryony Mackenzie; Sandra L Baldauf
Journal:  Nucleic Acids Res       Date:  2012-06-11       Impact factor: 16.971

5.  Strategies for reliable exploitation of evolutionary concepts in high throughput biology.

Authors:  Anthony Levasseur; Pierre Pontarotti; Olivier Poch; Julie D Thompson
Journal:  Evol Bioinform Online       Date:  2008-05-08       Impact factor: 1.625

6.  LEON-BIS: multiple alignment evaluation of sequence neighbours using a Bayesian inference system.

Authors:  Renaud Vanhoutreve; Arnaud Kress; Baptiste Legrand; Hélène Gass; Olivier Poch; Julie D Thompson
Journal:  BMC Bioinformatics       Date:  2016-07-07       Impact factor: 3.169

  6 in total

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