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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Microbiology Society
2023
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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. |
format | Online Article Text |
id | pubmed-10438813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
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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