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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2014
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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. |
format | Online Article Text |
id | pubmed-4155610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT rocaalbertoi profilegridsasequencealignmentvisualizationparadigmthatavoidsthelimitationsofsequencelogos |