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...
Autores principales: | , , , , |
---|---|
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 |