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Accelerating bioinformatics implementation in public health

We have adopted an open bioinformatics ecosystem to address the challenges of bioinformatics implementation in public health laboratories (PHLs). Bioinformatics implementation for public health requires practitioners to undertake standardized bioinformatic analyses and generate reproducible, validat...

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Autores principales: Libuit, Kevin G., Doughty, Emma L., Otieno, James R., Ambrosio, Frank, Kapsak, Curtis J., Smith, Emily A., Wright, Sage M., Scribner, Michelle R., Petit III, Robert A., Mendes, Catarina Inês, Huergo, Marcela, Legacki, Gregory, Loreth, Christine, Park, Daniel J., Sevinsky, Joel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10438813/
https://www.ncbi.nlm.nih.gov/pubmed/37428142
http://dx.doi.org/10.1099/mgen.0.001051
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author Libuit, Kevin G.
Doughty, Emma L.
Otieno, James R.
Ambrosio, Frank
Kapsak, Curtis J.
Smith, Emily A.
Wright, Sage M.
Scribner, Michelle R.
Petit III, Robert A.
Mendes, Catarina Inês
Huergo, Marcela
Legacki, Gregory
Loreth, Christine
Park, Daniel J.
Sevinsky, Joel R.
author_facet Libuit, Kevin G.
Doughty, Emma L.
Otieno, James R.
Ambrosio, Frank
Kapsak, Curtis J.
Smith, Emily A.
Wright, Sage M.
Scribner, Michelle R.
Petit III, Robert A.
Mendes, Catarina Inês
Huergo, Marcela
Legacki, Gregory
Loreth, Christine
Park, Daniel J.
Sevinsky, Joel R.
author_sort Libuit, Kevin G.
collection PubMed
description We have adopted an open bioinformatics ecosystem to address the challenges of bioinformatics implementation in public health laboratories (PHLs). Bioinformatics implementation for public health requires practitioners to undertake standardized bioinformatic analyses and generate reproducible, validated and auditable results. It is essential that data storage and analysis are scalable, portable and secure, and that implementation of bioinformatics fits within the operational constraints of the laboratory. We address these requirements using Terra, a web-based data analysis platform with a graphical user interface connecting users to bioinformatics analyses without the use of code. We have developed bioinformatics workflows for use with Terra that specifically meet the needs of public health practitioners. These Theiagen workflows perform genome assembly, quality control, and characterization, as well as construction of phylogeny for insights into genomic epidemiology. Additonally, these workflows use open-source containerized software and the WDL workflow language to ensure standardization and interoperability with other bioinformatics solutions, whilst being adaptable by the user. They are all open source and publicly available in Dockstore with the version-controlled code available in public GitHub repositories. They have been written to generate outputs in standardized file formats to allow for further downstream analysis and visualization with separate genomic epidemiology software. Testament to this solution meeting the requirements for bioinformatic implementation in public health, Theiagen workflows have collectively been used for over 5 million sample analyses in the last 2 years by over 90 public health laboratories in at least 40 different countries. Continued adoption of technological innovations and development of further workflows will ensure that this ecosystem continues to benefit PHLs.
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spelling pubmed-104388132023-08-19 Accelerating bioinformatics implementation in public health Libuit, Kevin G. Doughty, Emma L. Otieno, James R. Ambrosio, Frank Kapsak, Curtis J. Smith, Emily A. Wright, Sage M. Scribner, Michelle R. Petit III, Robert A. Mendes, Catarina Inês Huergo, Marcela Legacki, Gregory Loreth, Christine Park, Daniel J. Sevinsky, Joel R. Microb Genom Methods We have adopted an open bioinformatics ecosystem to address the challenges of bioinformatics implementation in public health laboratories (PHLs). Bioinformatics implementation for public health requires practitioners to undertake standardized bioinformatic analyses and generate reproducible, validated and auditable results. It is essential that data storage and analysis are scalable, portable and secure, and that implementation of bioinformatics fits within the operational constraints of the laboratory. We address these requirements using Terra, a web-based data analysis platform with a graphical user interface connecting users to bioinformatics analyses without the use of code. We have developed bioinformatics workflows for use with Terra that specifically meet the needs of public health practitioners. These Theiagen workflows perform genome assembly, quality control, and characterization, as well as construction of phylogeny for insights into genomic epidemiology. Additonally, these workflows use open-source containerized software and the WDL workflow language to ensure standardization and interoperability with other bioinformatics solutions, whilst being adaptable by the user. They are all open source and publicly available in Dockstore with the version-controlled code available in public GitHub repositories. They have been written to generate outputs in standardized file formats to allow for further downstream analysis and visualization with separate genomic epidemiology software. Testament to this solution meeting the requirements for bioinformatic implementation in public health, Theiagen workflows have collectively been used for over 5 million sample analyses in the last 2 years by over 90 public health laboratories in at least 40 different countries. Continued adoption of technological innovations and development of further workflows will ensure that this ecosystem continues to benefit PHLs. Microbiology Society 2023-07-10 /pmc/articles/PMC10438813/ /pubmed/37428142 http://dx.doi.org/10.1099/mgen.0.001051 Text en © 2023 Theiagen Genomics https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License.
spellingShingle Methods
Libuit, Kevin G.
Doughty, Emma L.
Otieno, James R.
Ambrosio, Frank
Kapsak, Curtis J.
Smith, Emily A.
Wright, Sage M.
Scribner, Michelle R.
Petit III, Robert A.
Mendes, Catarina Inês
Huergo, Marcela
Legacki, Gregory
Loreth, Christine
Park, Daniel J.
Sevinsky, Joel R.
Accelerating bioinformatics implementation in public health
title Accelerating bioinformatics implementation in public health
title_full Accelerating bioinformatics implementation in public health
title_fullStr Accelerating bioinformatics implementation in public health
title_full_unstemmed Accelerating bioinformatics implementation in public health
title_short Accelerating bioinformatics implementation in public health
title_sort accelerating bioinformatics implementation in public health
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10438813/
https://www.ncbi.nlm.nih.gov/pubmed/37428142
http://dx.doi.org/10.1099/mgen.0.001051
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