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GalaxyTrakr: a distributed analysis tool for public health whole genome sequence data accessible to non-bioinformaticians.
Gangiredla, Jayanthi; Rand, Hugh; Benisatto, Daniel; Payne, Justin; Strittmatter, Charles; Sanders, Jimmy; Wolfgang, William J; Libuit, Kevin; Herrick, James B; Prarat, Melanie; Toro, Magaly; Farrell, Thomas; Strain, Errol.
Afiliação
  • Gangiredla J; Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20708, Laurel, MD, USA. jayanthi.gangiredla@fda.hhs.gov.
  • Rand H; Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20740, College Park, MD, USA.
  • Benisatto D; DRT Strategies, 22203, Arlington, VA, USA.
  • Payne J; Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20740, College Park, MD, USA.
  • Strittmatter C; Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20740, College Park, MD, USA.
  • Sanders J; SDS Solutions, Inc, 22152, Springfield, VA, USA.
  • Wolfgang WJ; Wadsworth Center, New York State Department of Health, NY, 12201, Albany, USA.
  • Libuit K; Division of Consolidated Laboratory Services, Department of General Services, VA, 23219, Richmond, USA.
  • Herrick JB; Libuit Scientific LLC, 23219, Richmond, VA, USA.
  • Prarat M; Center for Genome and Metagenome Studies, James Madison University, 22807, Harrisonburg, VA, USA.
  • Toro M; Animal Disease Diagnostic Laboratory, Ohio Department of Agriculture, 43068, Reynoldsburg, Ohio, USA.
  • Farrell T; Laboratorio de Microbiología y Probióticos, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile.
  • Strain E; Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20740, College Park, MD, USA.
BMC Genomics ; 22(1): 114, 2021 Feb 10.
Article em En | MEDLINE | ID: mdl-33568057
ABSTRACT

BACKGROUND:

Processing and analyzing whole genome sequencing (WGS) is computationally intense a single Illumina MiSeq WGS run produces ~ 1 million 250-base-pair reads for each of 24 samples. This poses significant obstacles for smaller laboratories, or laboratories not affiliated with larger projects, which may not have dedicated bioinformatics staff or computing power to effectively use genomic data to protect public health. Building on the success of the cloud-based Galaxy bioinformatics platform ( http//galaxyproject.org ), already known for its user-friendliness and powerful WGS analytical tools, the Center for Food Safety and Applied Nutrition (CFSAN) at the U.S. Food and Drug Administration (FDA) created a customized 'instance' of the Galaxy environment, called GalaxyTrakr ( https//www.galaxytrakr.org ), for use by laboratory scientists performing food-safety regulatory research. The goal was to enable laboratories outside of the FDA internal network to (1) perform quality assessments of sequence data, (2) identify links between clinical isolates and positive food/environmental samples, including those at the National Center for Biotechnology Information sequence read archive ( https//www.ncbi.nlm.nih.gov/sra/ ), and (3) explore new methodologies such as metagenomics. GalaxyTrakr hosts a variety of free and adaptable tools and provides the data storage and computing power to run the tools. These tools support coordinated analytic methods and consistent interpretation of results across laboratories. Users can create and share tools for their specific needs and use sequence data generated locally and elsewhere.

RESULTS:

In its first full year (2018), GalaxyTrakr processed over 85,000 jobs and went from 25 to 250 users, representing 53 different public and state health laboratories, academic institutions, international health laboratories, and federal organizations. By mid-2020, it has grown to 600 registered users and processed over 450,000 analytical jobs. To illustrate how laboratories are making use of this resource, we describe how six institutions use GalaxyTrakr to quickly analyze and review their data. Instructions for participating in GalaxyTrakr are provided.

CONCLUSIONS:

GalaxyTrakr advances food safety by providing reliable and harmonized WGS analyses for public health laboratories and promoting collaboration across laboratories with differing resources. Anticipated enhancements to this resource will include workflows for additional foodborne pathogens, viruses, and parasites, as well as new tools and services.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Pública / Metagenômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Pública / Metagenômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos