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SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology

The recent widespread application of whole-genome sequencing (WGS) for microbial disease investigations has spurred the development of new bioinformatics tools, including a notable proliferation of phylogenomics pipelines designed for infectious disease surveillance and outbreak investigation. Trans...

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Autores principales: Petkau, Aaron, Mabon, Philip, Sieffert, Cameron, Knox, Natalie C., Cabral, Jennifer, Iskander, Mariam, Iskander, Mark, Weedmark, Kelly, Zaheer, Rahat, Katz, Lee S., Nadon, Celine, Reimer, Aleisha, Taboada, Eduardo, Beiko, Robert G., Hsiao, William, Brinkman, Fiona, Graham, Morag, Van Domselaar, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628696/
https://www.ncbi.nlm.nih.gov/pubmed/29026651
http://dx.doi.org/10.1099/mgen.0.000116
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author Petkau, Aaron
Mabon, Philip
Sieffert, Cameron
Knox, Natalie C.
Cabral, Jennifer
Iskander, Mariam
Iskander, Mark
Weedmark, Kelly
Zaheer, Rahat
Katz, Lee S.
Nadon, Celine
Reimer, Aleisha
Taboada, Eduardo
Beiko, Robert G.
Hsiao, William
Brinkman, Fiona
Graham, Morag
Van Domselaar, Gary
author_facet Petkau, Aaron
Mabon, Philip
Sieffert, Cameron
Knox, Natalie C.
Cabral, Jennifer
Iskander, Mariam
Iskander, Mark
Weedmark, Kelly
Zaheer, Rahat
Katz, Lee S.
Nadon, Celine
Reimer, Aleisha
Taboada, Eduardo
Beiko, Robert G.
Hsiao, William
Brinkman, Fiona
Graham, Morag
Van Domselaar, Gary
author_sort Petkau, Aaron
collection PubMed
description The recent widespread application of whole-genome sequencing (WGS) for microbial disease investigations has spurred the development of new bioinformatics tools, including a notable proliferation of phylogenomics pipelines designed for infectious disease surveillance and outbreak investigation. Transitioning the use of WGS data out of the research laboratory and into the front lines of surveillance and outbreak response requires user-friendly, reproducible and scalable pipelines that have been well validated. Single Nucleotide Variant Phylogenomics (SNVPhyl) is a bioinformatics pipeline for identifying high-quality single-nucleotide variants (SNVs) and constructing a whole-genome phylogeny from a collection of WGS reads and a reference genome. Individual pipeline components are integrated into the Galaxy bioinformatics framework, enabling data analysis in a user-friendly, reproducible and scalable environment. We show that SNVPhyl can detect SNVs with high sensitivity and specificity, and identify and remove regions of high SNV density (indicative of recombination). SNVPhyl is able to correctly distinguish outbreak from non-outbreak isolates across a range of variant-calling settings, sequencing-coverage thresholds or in the presence of contamination. SNVPhyl is available as a Galaxy workflow, Docker and virtual machine images, and a Unix-based command-line application. SNVPhyl is released under the Apache 2.0 license and available at http://snvphyl.readthedocs.io/ or at https://github.com/phac-nml/snvphyl-galaxy.
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spelling pubmed-56286962017-10-12 SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology Petkau, Aaron Mabon, Philip Sieffert, Cameron Knox, Natalie C. Cabral, Jennifer Iskander, Mariam Iskander, Mark Weedmark, Kelly Zaheer, Rahat Katz, Lee S. Nadon, Celine Reimer, Aleisha Taboada, Eduardo Beiko, Robert G. Hsiao, William Brinkman, Fiona Graham, Morag Van Domselaar, Gary Microb Genom Methods Paper The recent widespread application of whole-genome sequencing (WGS) for microbial disease investigations has spurred the development of new bioinformatics tools, including a notable proliferation of phylogenomics pipelines designed for infectious disease surveillance and outbreak investigation. Transitioning the use of WGS data out of the research laboratory and into the front lines of surveillance and outbreak response requires user-friendly, reproducible and scalable pipelines that have been well validated. Single Nucleotide Variant Phylogenomics (SNVPhyl) is a bioinformatics pipeline for identifying high-quality single-nucleotide variants (SNVs) and constructing a whole-genome phylogeny from a collection of WGS reads and a reference genome. Individual pipeline components are integrated into the Galaxy bioinformatics framework, enabling data analysis in a user-friendly, reproducible and scalable environment. We show that SNVPhyl can detect SNVs with high sensitivity and specificity, and identify and remove regions of high SNV density (indicative of recombination). SNVPhyl is able to correctly distinguish outbreak from non-outbreak isolates across a range of variant-calling settings, sequencing-coverage thresholds or in the presence of contamination. SNVPhyl is available as a Galaxy workflow, Docker and virtual machine images, and a Unix-based command-line application. SNVPhyl is released under the Apache 2.0 license and available at http://snvphyl.readthedocs.io/ or at https://github.com/phac-nml/snvphyl-galaxy. Microbiology Society 2017-06-08 /pmc/articles/PMC5628696/ /pubmed/29026651 http://dx.doi.org/10.1099/mgen.0.000116 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (http://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 Methods Paper
Petkau, Aaron
Mabon, Philip
Sieffert, Cameron
Knox, Natalie C.
Cabral, Jennifer
Iskander, Mariam
Iskander, Mark
Weedmark, Kelly
Zaheer, Rahat
Katz, Lee S.
Nadon, Celine
Reimer, Aleisha
Taboada, Eduardo
Beiko, Robert G.
Hsiao, William
Brinkman, Fiona
Graham, Morag
Van Domselaar, Gary
SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology
title SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology
title_full SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology
title_fullStr SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology
title_full_unstemmed SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology
title_short SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology
title_sort snvphyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology
topic Methods Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628696/
https://www.ncbi.nlm.nih.gov/pubmed/29026651
http://dx.doi.org/10.1099/mgen.0.000116
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