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ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments
Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856975/ https://www.ncbi.nlm.nih.gov/pubmed/26819408 http://dx.doi.org/10.1093/nar/gkw022 |
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author | Schwarz, Roland F. Tamuri, Asif U. Kultys, Marek King, James Godwin, James Florescu, Ana M. Schultz, Jörg Goldman, Nick |
author_facet | Schwarz, Roland F. Tamuri, Asif U. Kultys, Marek King, James Godwin, James Florescu, Ana M. Schultz, Jörg Goldman, Nick |
author_sort | Schwarz, Roland F. |
collection | PubMed |
description | Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles). |
format | Online Article Text |
id | pubmed-4856975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48569752016-05-09 ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments Schwarz, Roland F. Tamuri, Asif U. Kultys, Marek King, James Godwin, James Florescu, Ana M. Schultz, Jörg Goldman, Nick Nucleic Acids Res Methods Online Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles). Oxford University Press 2016-05-05 2016-01-26 /pmc/articles/PMC4856975/ /pubmed/26819408 http://dx.doi.org/10.1093/nar/gkw022 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Schwarz, Roland F. Tamuri, Asif U. Kultys, Marek King, James Godwin, James Florescu, Ana M. Schultz, Jörg Goldman, Nick ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments |
title | ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments |
title_full | ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments |
title_fullStr | ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments |
title_full_unstemmed | ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments |
title_short | ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments |
title_sort | alvis: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856975/ https://www.ncbi.nlm.nih.gov/pubmed/26819408 http://dx.doi.org/10.1093/nar/gkw022 |
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