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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Microbiology Society
2017
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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. |
format | Online Article Text |
id | pubmed-5628696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
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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