Evidence map›Paper›PMID 33568057›Full record

ArticleBMC genomics2021

GalaxyTrakr: a distributed analysis tool for public health whole genome sequence data accessible to non-bioinformaticians.

Jayanthi Gangiredla, Hugh Rand, Daniel Benisatto, Justin Payne, Charles Strittmatter, Jimmy Sanders, William J Wolfgang, Kevin Libuit, James B Herrick, Melanie Prarat and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 87 citations in OpenAlex.

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  17. Draft genome sequences ofMicrobiology resource announcements · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 2 countries.

Jayanthi GangiredlaCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20708, Laurel, MD, USA. jayanthi.gangiredla@fda.hhs.gov.ORCID http://orcid.org/0000-0001-6782-589X
Hugh RandCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20740, College Park, MD, USA.
Daniel BenisattoDRT Strategies, 22203, Arlington, VA, USA.
Justin PayneCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20740, College Park, MD, USA.
Charles StrittmatterCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20740, College Park, MD, USA.
Jimmy SandersSDS Solutions, Inc, 22152, Springfield, VA, USA.
William J WolfgangWadsworth Center, New York State Department of Health, NY, 12201, Albany, USA.
Kevin LibuitDivision of Consolidated Laboratory Services, Department of General Services, VA, 23219, Richmond, USA.
James B HerrickCenter for Genome and Metagenome Studies, James Madison University, 22807, Harrisonburg, VA, USA.
Melanie PraratAnimal Disease Diagnostic Laboratory, Ohio Department of Agriculture, 43068, Reynoldsburg, Ohio, USA.
Magaly ToroLaboratorio de Microbiología y Probióticos, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile.
Thomas FarrellCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 20740, College Park, MD, USA.
Errol StrainCenter for Veterinary Medicine, U.S. Food and Drug Administration, MD, 20708, Laurel, USA.
Center for Food Safety and Applied Nutrition · USCenter for Veterinary Medicine · USDepartment of General Services · USJames Madison University · USNew York State Department of Health · USOhio Department of Agriculture · USUniversity of Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProcessing 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.

resultsIn 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.

conclusionsGalaxyTrakr 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.

Indexed as

MetagenomicsPublic HealthComputational BiologyHigh-Throughput Nucleotide SequencingHumansWhole Genome SequencingBiosurveillanceFood safetyGalaxyGenomeTrakrGenomic surveillancePublic healthWhole genome sequencing

Identifiers

PMID33568057
PMCPMC7877046
OpenAlexW3127029381

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.