Cargando…

ViCTree: an automated framework for taxonomic classification from protein sequences

MOTIVATION: The increasing rate of submission of genetic sequences into public databases is providing a growing resource for classifying the organisms that these sequences represent. To aid viral classification, we have developed ViCTree, which automatically integrates the relevant sets of sequences...

Descripción completa

Detalles Bibliográficos
Autores principales: Modha, Sejal, Thanki, Anil S, Cotmore, Susan F, Davison, Andrew J, Hughes, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022645/
https://www.ncbi.nlm.nih.gov/pubmed/29474519
http://dx.doi.org/10.1093/bioinformatics/bty099
_version_ 1783335722440196096
author Modha, Sejal
Thanki, Anil S
Cotmore, Susan F
Davison, Andrew J
Hughes, Joseph
author_facet Modha, Sejal
Thanki, Anil S
Cotmore, Susan F
Davison, Andrew J
Hughes, Joseph
author_sort Modha, Sejal
collection PubMed
description MOTIVATION: The increasing rate of submission of genetic sequences into public databases is providing a growing resource for classifying the organisms that these sequences represent. To aid viral classification, we have developed ViCTree, which automatically integrates the relevant sets of sequences in NCBI GenBank and transforms them into an interactive maximum likelihood phylogenetic tree that can be updated automatically. ViCTree incorporates ViCTreeView, which is a JavaScript-based visualization tool that enables the tree to be explored interactively in the context of pairwise distance data. RESULTS: To demonstrate utility, ViCTree was applied to subfamily Densovirinae of family Parvoviridae. This led to the identification of six new species of insect virus. AVAILABILITY AND IMPLEMENTATION: ViCTree is open-source and can be run on any Linux- or Unix-based computer or cluster. A tutorial, the documentation and the source code are available under a GPL3 license, and can be accessed at http://bioinformatics.cvr.ac.uk/victree_web/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
format Online
Article
Text
id pubmed-6022645
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-60226452018-07-10 ViCTree: an automated framework for taxonomic classification from protein sequences Modha, Sejal Thanki, Anil S Cotmore, Susan F Davison, Andrew J Hughes, Joseph Bioinformatics Original Papers MOTIVATION: The increasing rate of submission of genetic sequences into public databases is providing a growing resource for classifying the organisms that these sequences represent. To aid viral classification, we have developed ViCTree, which automatically integrates the relevant sets of sequences in NCBI GenBank and transforms them into an interactive maximum likelihood phylogenetic tree that can be updated automatically. ViCTree incorporates ViCTreeView, which is a JavaScript-based visualization tool that enables the tree to be explored interactively in the context of pairwise distance data. RESULTS: To demonstrate utility, ViCTree was applied to subfamily Densovirinae of family Parvoviridae. This led to the identification of six new species of insect virus. AVAILABILITY AND IMPLEMENTATION: ViCTree is open-source and can be run on any Linux- or Unix-based computer or cluster. A tutorial, the documentation and the source code are available under a GPL3 license, and can be accessed at http://bioinformatics.cvr.ac.uk/victree_web/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-07-01 2018-02-20 /pmc/articles/PMC6022645/ /pubmed/29474519 http://dx.doi.org/10.1093/bioinformatics/bty099 Text en © The Author(s) 2018. Published by Oxford University Press. 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 Original Papers
Modha, Sejal
Thanki, Anil S
Cotmore, Susan F
Davison, Andrew J
Hughes, Joseph
ViCTree: an automated framework for taxonomic classification from protein sequences
title ViCTree: an automated framework for taxonomic classification from protein sequences
title_full ViCTree: an automated framework for taxonomic classification from protein sequences
title_fullStr ViCTree: an automated framework for taxonomic classification from protein sequences
title_full_unstemmed ViCTree: an automated framework for taxonomic classification from protein sequences
title_short ViCTree: an automated framework for taxonomic classification from protein sequences
title_sort victree: an automated framework for taxonomic classification from protein sequences
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022645/
https://www.ncbi.nlm.nih.gov/pubmed/29474519
http://dx.doi.org/10.1093/bioinformatics/bty099
work_keys_str_mv AT modhasejal victreeanautomatedframeworkfortaxonomicclassificationfromproteinsequences
AT thankianils victreeanautomatedframeworkfortaxonomicclassificationfromproteinsequences
AT cotmoresusanf victreeanautomatedframeworkfortaxonomicclassificationfromproteinsequences
AT davisonandrewj victreeanautomatedframeworkfortaxonomicclassificationfromproteinsequences
AT hughesjoseph victreeanautomatedframeworkfortaxonomicclassificationfromproteinsequences