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CView: A network based tool for enhanced alignment visualization

To date basic visualization of sequence alignments have largely focused on displaying per-site columns of nucleotide, or amino acid, residues along with associated frequency summarizations. The persistence of this tendency to the recent tools designed for viewing mapped read data indicates that such...

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Detalles Bibliográficos
Autores principales: Linheiro, Raquel, Sabatino, Stephen, Lobo, Diana, Archer, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191720/
https://www.ncbi.nlm.nih.gov/pubmed/35696379
http://dx.doi.org/10.1371/journal.pone.0259726
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author Linheiro, Raquel
Sabatino, Stephen
Lobo, Diana
Archer, John
author_facet Linheiro, Raquel
Sabatino, Stephen
Lobo, Diana
Archer, John
author_sort Linheiro, Raquel
collection PubMed
description To date basic visualization of sequence alignments have largely focused on displaying per-site columns of nucleotide, or amino acid, residues along with associated frequency summarizations. The persistence of this tendency to the recent tools designed for viewing mapped read data indicates that such a perspective not only provides a reliable visualization of per-site alterations, but also offers implicit reassurance to the end-user in relation to data accessibility. However, the initial insight gained is limited, something that is especially true when viewing alignments consisting of many sequences representing differing factors such as location, date and subtype. A basic alignment viewer can have potential to increase initial insight through visual enhancement, whilst not delving into the realms of complex sequence analysis. We present CView, a visualizer that expands on the per-site representation of residues through the incorporation of a dynamic network that is based on the summarization of diversity present across different regions of the alignment. Within the network, nodes are based on the clustering of sequence fragments that span windows placed consecutively along the alignment. Edges are placed between nodes of neighbouring windows where they share sequence identification(s), i.e. different regions of the same sequence(s). Thus, if a node is selected on the network, then the relationship that sequences passing through that node have to other regions of diversity within the alignment can be observed through path tracing. In addition to augmenting visual insight, CView provides export features including variant summarization, per-site residue and kmer frequencies, consensus sequence, alignment dissection as well as clustering; each useful across a range of research areas. The software has been designed to be user friendly, intuitive and interactive. It is open source and an executable jar, source code, quick start, usage tutorial and test data are available (under the GNU General Public License) from https://sourceforge.net/projects/cview/.
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spelling pubmed-91917202022-06-14 CView: A network based tool for enhanced alignment visualization Linheiro, Raquel Sabatino, Stephen Lobo, Diana Archer, John PLoS One Research Article To date basic visualization of sequence alignments have largely focused on displaying per-site columns of nucleotide, or amino acid, residues along with associated frequency summarizations. The persistence of this tendency to the recent tools designed for viewing mapped read data indicates that such a perspective not only provides a reliable visualization of per-site alterations, but also offers implicit reassurance to the end-user in relation to data accessibility. However, the initial insight gained is limited, something that is especially true when viewing alignments consisting of many sequences representing differing factors such as location, date and subtype. A basic alignment viewer can have potential to increase initial insight through visual enhancement, whilst not delving into the realms of complex sequence analysis. We present CView, a visualizer that expands on the per-site representation of residues through the incorporation of a dynamic network that is based on the summarization of diversity present across different regions of the alignment. Within the network, nodes are based on the clustering of sequence fragments that span windows placed consecutively along the alignment. Edges are placed between nodes of neighbouring windows where they share sequence identification(s), i.e. different regions of the same sequence(s). Thus, if a node is selected on the network, then the relationship that sequences passing through that node have to other regions of diversity within the alignment can be observed through path tracing. In addition to augmenting visual insight, CView provides export features including variant summarization, per-site residue and kmer frequencies, consensus sequence, alignment dissection as well as clustering; each useful across a range of research areas. The software has been designed to be user friendly, intuitive and interactive. It is open source and an executable jar, source code, quick start, usage tutorial and test data are available (under the GNU General Public License) from https://sourceforge.net/projects/cview/. Public Library of Science 2022-06-13 /pmc/articles/PMC9191720/ /pubmed/35696379 http://dx.doi.org/10.1371/journal.pone.0259726 Text en © 2022 Linheiro et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Linheiro, Raquel
Sabatino, Stephen
Lobo, Diana
Archer, John
CView: A network based tool for enhanced alignment visualization
title CView: A network based tool for enhanced alignment visualization
title_full CView: A network based tool for enhanced alignment visualization
title_fullStr CView: A network based tool for enhanced alignment visualization
title_full_unstemmed CView: A network based tool for enhanced alignment visualization
title_short CView: A network based tool for enhanced alignment visualization
title_sort cview: a network based tool for enhanced alignment visualization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191720/
https://www.ncbi.nlm.nih.gov/pubmed/35696379
http://dx.doi.org/10.1371/journal.pone.0259726
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