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WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs
SUMMARY: WIsH predicts prokaryotic hosts of phages from their genomic sequences. It achieves 63% mean accuracy when predicting the host genus among 20 genera for 3 kbp-long phage contigs. Over the best current tool, WisH shows much improved accuracy on phage sequences of a few kbp length and runs hu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870724/ https://www.ncbi.nlm.nih.gov/pubmed/28957499 http://dx.doi.org/10.1093/bioinformatics/btx383 |
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author | Galiez, Clovis Siebert, Matthias Enault, François Vincent, Jonathan Söding, Johannes |
author_facet | Galiez, Clovis Siebert, Matthias Enault, François Vincent, Jonathan Söding, Johannes |
author_sort | Galiez, Clovis |
collection | PubMed |
description | SUMMARY: WIsH predicts prokaryotic hosts of phages from their genomic sequences. It achieves 63% mean accuracy when predicting the host genus among 20 genera for 3 kbp-long phage contigs. Over the best current tool, WisH shows much improved accuracy on phage sequences of a few kbp length and runs hundreds of times faster, making it suited for metagenomics studies. AVAILABILITY AND IMPLEMENTATION: OpenMP-parallelized GPL-licensed C ++ code available at https://github.com/soedinglab/wish. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5870724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58707242018-04-05 WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs Galiez, Clovis Siebert, Matthias Enault, François Vincent, Jonathan Söding, Johannes Bioinformatics Applications Notes SUMMARY: WIsH predicts prokaryotic hosts of phages from their genomic sequences. It achieves 63% mean accuracy when predicting the host genus among 20 genera for 3 kbp-long phage contigs. Over the best current tool, WisH shows much improved accuracy on phage sequences of a few kbp length and runs hundreds of times faster, making it suited for metagenomics studies. AVAILABILITY AND IMPLEMENTATION: OpenMP-parallelized GPL-licensed C ++ code available at https://github.com/soedinglab/wish. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-10-01 2017-07-13 /pmc/articles/PMC5870724/ /pubmed/28957499 http://dx.doi.org/10.1093/bioinformatics/btx383 Text en © The Author 2017. 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 | Applications Notes Galiez, Clovis Siebert, Matthias Enault, François Vincent, Jonathan Söding, Johannes WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs |
title | WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs |
title_full | WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs |
title_fullStr | WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs |
title_full_unstemmed | WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs |
title_short | WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs |
title_sort | wish: who is the host? predicting prokaryotic hosts from metagenomic phage contigs |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870724/ https://www.ncbi.nlm.nih.gov/pubmed/28957499 http://dx.doi.org/10.1093/bioinformatics/btx383 |
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