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outbreaker2: a modular platform for outbreak reconstruction
BACKGROUND: Reconstructing individual transmission events in an infectious disease outbreak can provide valuable information and help inform infection control policy. Recent years have seen considerable progress in the development of methodologies for reconstructing transmission chains using both ep...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196407/ https://www.ncbi.nlm.nih.gov/pubmed/30343663 http://dx.doi.org/10.1186/s12859-018-2330-z |
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author | Campbell, Finlay Didelot, Xavier Fitzjohn, Rich Ferguson, Neil Cori, Anne Jombart, Thibaut |
author_facet | Campbell, Finlay Didelot, Xavier Fitzjohn, Rich Ferguson, Neil Cori, Anne Jombart, Thibaut |
author_sort | Campbell, Finlay |
collection | PubMed |
description | BACKGROUND: Reconstructing individual transmission events in an infectious disease outbreak can provide valuable information and help inform infection control policy. Recent years have seen considerable progress in the development of methodologies for reconstructing transmission chains using both epidemiological and genetic data. However, only a few of these methods have been implemented in software packages, and with little consideration for customisability and interoperability. Users are therefore limited to a small number of alternatives, incompatible tools with fixed functionality, or forced to develop their own algorithms at considerable personal effort. RESULTS: Here we present outbreaker2, a flexible framework for outbreak reconstruction. This R package re-implements and extends the original model introduced with outbreaker, but most importantly also provides a modular platform allowing users to specify custom models within an optimised inferential framework. As a proof of concept, we implement the within-host evolutionary model introduced with TransPhylo, which is very distinct from the original genetic model in outbreaker, and demonstrate how even complex model results can be successfully included with minimal effort. CONCLUSIONS: outbreaker2 provides a valuable starting point for future outbreak reconstruction tools, and represents a unifying platform that promotes customisability and interoperability. Implemented in the R software, outbreaker2 joins a growing body of tools for outbreak analysis. |
format | Online Article Text |
id | pubmed-6196407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61964072018-10-30 outbreaker2: a modular platform for outbreak reconstruction Campbell, Finlay Didelot, Xavier Fitzjohn, Rich Ferguson, Neil Cori, Anne Jombart, Thibaut BMC Bioinformatics Software BACKGROUND: Reconstructing individual transmission events in an infectious disease outbreak can provide valuable information and help inform infection control policy. Recent years have seen considerable progress in the development of methodologies for reconstructing transmission chains using both epidemiological and genetic data. However, only a few of these methods have been implemented in software packages, and with little consideration for customisability and interoperability. Users are therefore limited to a small number of alternatives, incompatible tools with fixed functionality, or forced to develop their own algorithms at considerable personal effort. RESULTS: Here we present outbreaker2, a flexible framework for outbreak reconstruction. This R package re-implements and extends the original model introduced with outbreaker, but most importantly also provides a modular platform allowing users to specify custom models within an optimised inferential framework. As a proof of concept, we implement the within-host evolutionary model introduced with TransPhylo, which is very distinct from the original genetic model in outbreaker, and demonstrate how even complex model results can be successfully included with minimal effort. CONCLUSIONS: outbreaker2 provides a valuable starting point for future outbreak reconstruction tools, and represents a unifying platform that promotes customisability and interoperability. Implemented in the R software, outbreaker2 joins a growing body of tools for outbreak analysis. BioMed Central 2018-10-22 /pmc/articles/PMC6196407/ /pubmed/30343663 http://dx.doi.org/10.1186/s12859-018-2330-z Text en © The Author(s). 2018 Open AccessThis article is distributed 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 you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Campbell, Finlay Didelot, Xavier Fitzjohn, Rich Ferguson, Neil Cori, Anne Jombart, Thibaut outbreaker2: a modular platform for outbreak reconstruction |
title | outbreaker2: a modular platform for outbreak reconstruction |
title_full | outbreaker2: a modular platform for outbreak reconstruction |
title_fullStr | outbreaker2: a modular platform for outbreak reconstruction |
title_full_unstemmed | outbreaker2: a modular platform for outbreak reconstruction |
title_short | outbreaker2: a modular platform for outbreak reconstruction |
title_sort | outbreaker2: a modular platform for outbreak reconstruction |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196407/ https://www.ncbi.nlm.nih.gov/pubmed/30343663 http://dx.doi.org/10.1186/s12859-018-2330-z |
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