Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Schwarz, Roland F., Tamuri, Asif U., Kultys, Marek, King, James, Godwin, James, Florescu, Ana M., Schultz, Jörg, Goldman, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
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
_version_ 1782430575252996096
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
work_keys_str_mv AT schwarzrolandf alvisinteractivenonaggregativevisualizationandexplorativeanalysisofmultiplesequencealignments
AT tamuriasifu alvisinteractivenonaggregativevisualizationandexplorativeanalysisofmultiplesequencealignments
AT kultysmarek alvisinteractivenonaggregativevisualizationandexplorativeanalysisofmultiplesequencealignments
AT kingjames alvisinteractivenonaggregativevisualizationandexplorativeanalysisofmultiplesequencealignments
AT godwinjames alvisinteractivenonaggregativevisualizationandexplorativeanalysisofmultiplesequencealignments
AT florescuanam alvisinteractivenonaggregativevisualizationandexplorativeanalysisofmultiplesequencealignments
AT schultzjorg alvisinteractivenonaggregativevisualizationandexplorativeanalysisofmultiplesequencealignments
AT goldmannick alvisinteractivenonaggregativevisualizationandexplorativeanalysisofmultiplesequencealignments