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Authordc.contributor.authorGangiredla, Jayanthi
Authordc.contributor.authorRand, Hugh
Authordc.contributor.authorBenisatto, Daniel
Authordc.contributor.authorPayne, Justin
Authordc.contributor.authorStrittmatter, Charles
Authordc.contributor.authorSanders, Jimmy
Authordc.contributor.authorWolfgang, William J.
Authordc.contributor.authorLibuit, Kevin
Authordc.contributor.authorHerrick, James B.
Authordc.contributor.authorPrarat, Melanie
Authordc.contributor.authorToro Ibaceta, Magaly Alejandra
Authordc.contributor.authorFarrell, Thomas
Authordc.contributor.authorStrain, Errol
Admission datedc.date.accessioned2022-01-10T21:11:46Z
Available datedc.date.available2022-01-10T21:11:46Z
Publication datedc.date.issued2021
Cita de ítemdc.identifier.citationBMC Genomics (2021) 22:114es_ES
Identifierdc.identifier.other10.1186/s12864-021-07405-8
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/183636
Abstractdc.description.abstractBackground: 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 userfriendliness 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.es_ES
Patrocinadordc.description.sponsorshipCenter for Food Safety and Applied Nutrition at the U.S. Food and Drug Administrationes_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherBMCes_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
Sourcedc.sourceBMC Genomicses_ES
Keywordsdc.subjectGalaxyes_ES
Keywordsdc.subjectBiosurveillancees_ES
Keywordsdc.subjectWhole genome sequencinges_ES
Keywordsdc.subjectFood safetyes_ES
Keywordsdc.subjectPublic healthes_ES
Keywordsdc.subjectGenome trakres_ES
Keywordsdc.subjectGenomic surveillancees_ES
Títulodc.titleGalaxyTrakr: a distributed analysis tool for public health whole genome sequence data accessible to non-bioinformaticianses_ES
Document typedc.typeArtículo de revistaes_ES
dc.description.versiondc.description.versionVersión publicada - versión final del editores_ES
dcterms.accessRightsdcterms.accessRightsAcceso abiertoes_ES
Catalogueruchile.catalogadorcfres_ES
Indexationuchile.indexArtículo de publícación WoSes_ES
Indexationuchile.indexArtículo de publicación SCOPUSes_ES


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States