PloS one · 2019
GenomeGraphR: A user-friendly open-source web application for foodborne pathogen whole genome sequencing data integration, analysis, and visualization.
СтатьяПоддержка правительства СШАПоддержка службы здравоохранения СШАНазвание и аннотация: Перевод в очереди
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Sanaa Moez, Pouillot Régis, Vega Francisco Garcés, Strain Errol, Van Doren Jane M
Аннотация
Food safety risk assessments and large-scale epidemiological investigations have the potential to provide better and new types of information when whole genome sequence (WGS) data are effectively integrated. Today, the NCBI Pathogen Detection database WGS collections have grown significantly through improvements in technology, coordination, and collaboration, such as the GenomeTrakr and PulseNet networks. However, high-quality genomic data is not often coupled with high-quality epidemiological or food chain metadata. We have created a set of tools for cleaning, curation, integration, analysis and visualization of microbial genome sequencing data. It has been tested using Salmonella enterica and Listeria monocytogenes data sets provided by NCBI Pathogen Detection (160,000 sequenced isolates in 2018). GenomeGraphR presents foodborne pathogen WGS data and associated curated metadata in a user-friendly interface that allows a user to query a variety of research questions such as, transmission sources and dynamics, global reach, and persistence of genotypes associated with contamination in the food supply and foodborne illness across time or space. The application is freely available (https://fda-riskmodels.foodrisk.org/genomegraphr/).
Предметные рубрики MeSH
Databases, GeneticFood MicrobiologyFood SafetyFoodborne DiseasesGenome, BacterialHumansInternetListeria monocytogenesListeriosisMetadataMolecular EpidemiologyPolymorphism, Single NucleotideRisk AssessmentSalmonella Food PoisoningSalmonella entericaSoftwareUser-Computer InterfaceWhole Genome Sequencing