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ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos

BACKGROUND: The 2013 BioVis Contest provided an opportunity to evaluate different paradigms for visualizing protein multiple sequence alignments. Such data sets are becoming extremely large and thus taxing current visualization paradigms. Sequence Logos represent consensus sequences but have limitat...

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Autor principal: Roca, Alberto I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4155610/
https://www.ncbi.nlm.nih.gov/pubmed/25237393
http://dx.doi.org/10.1186/1753-6561-8-S2-S6
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author Roca, Alberto I
author_facet Roca, Alberto I
author_sort Roca, Alberto I
collection PubMed
description BACKGROUND: The 2013 BioVis Contest provided an opportunity to evaluate different paradigms for visualizing protein multiple sequence alignments. Such data sets are becoming extremely large and thus taxing current visualization paradigms. Sequence Logos represent consensus sequences but have limitations for protein alignments. As an alternative, ProfileGrids are a new protein sequence alignment visualization paradigm that represents an alignment as a color-coded matrix of the residue frequency occurring at every homologous position in the aligned protein family. RESULTS: The JProfileGrid software program was used to analyze the BioVis contest data sets to generate figures for comparison with the Sequence Logo reference images. CONCLUSIONS: The ProfileGrid representation allows for the clear and effective analysis of protein multiple sequence alignments. This includes both a general overview of the conservation and diversity sequence patterns as well as the interactive ability to query the details of the protein residue distributions in the alignment. The JProfileGrid software is free and available from http://www.ProfileGrid.org.
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spelling pubmed-41556102014-09-18 ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos Roca, Alberto I BMC Proc Research BACKGROUND: The 2013 BioVis Contest provided an opportunity to evaluate different paradigms for visualizing protein multiple sequence alignments. Such data sets are becoming extremely large and thus taxing current visualization paradigms. Sequence Logos represent consensus sequences but have limitations for protein alignments. As an alternative, ProfileGrids are a new protein sequence alignment visualization paradigm that represents an alignment as a color-coded matrix of the residue frequency occurring at every homologous position in the aligned protein family. RESULTS: The JProfileGrid software program was used to analyze the BioVis contest data sets to generate figures for comparison with the Sequence Logo reference images. CONCLUSIONS: The ProfileGrid representation allows for the clear and effective analysis of protein multiple sequence alignments. This includes both a general overview of the conservation and diversity sequence patterns as well as the interactive ability to query the details of the protein residue distributions in the alignment. The JProfileGrid software is free and available from http://www.ProfileGrid.org. BioMed Central 2014-08-28 /pmc/articles/PMC4155610/ /pubmed/25237393 http://dx.doi.org/10.1186/1753-6561-8-S2-S6 Text en Copyright © 2014 Roca; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Roca, Alberto I
ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos
title ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos
title_full ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos
title_fullStr ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos
title_full_unstemmed ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos
title_short ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos
title_sort profilegrids: a sequence alignment visualization paradigm that avoids the limitations of sequence logos
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4155610/
https://www.ncbi.nlm.nih.gov/pubmed/25237393
http://dx.doi.org/10.1186/1753-6561-8-S2-S6
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