GenomeGraphR: A user-friendly open-source web application for foodborne pathogen whole genome sequencing data integration, analysis, and visualization

被引:17
|
作者
Sanaa, Moez [1 ,2 ]
Pouillot, Regis [1 ]
Vega, Francisco Garces [1 ]
Strain, Errol [1 ]
van Doren, Jane M. [1 ]
机构
[1] US FDA, Ctr Food Safety & Appl Nutr, College Pk, MD 20740 USA
[2] ANSES Food Agcy Food Environm & Occupat Hlth & Sa, Risk Assessment Dept, Food Safety Risk Assessment Unit, Maisons Alfort, France
来源
PLOS ONE | 2019年 / 14卷 / 02期
关键词
OUTBREAKS; NETWORK; DISEASE;
D O I
10.1371/journal.pone.0213039
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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/).
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页数:18
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