Advancing integration of data on food microbiome studies: FoodMicrobionet 3.1, a major upgrade of the FoodMicrobionet database.
16S metagenomics
Amplicon targeted high throughput sequencing
Database
Food bacterial microbiota
Journal
International journal of food microbiology
ISSN: 1879-3460
Titre abrégé: Int J Food Microbiol
Pays: Netherlands
ID NLM: 8412849
Informations de publication
Date de publication:
16 Sep 2019
16 Sep 2019
Historique:
received:
19
01
2019
revised:
07
06
2019
accepted:
10
06
2019
pubmed:
18
6
2019
medline:
23
10
2019
entrez:
18
6
2019
Statut:
ppublish
Résumé
We present a new version of FoodMicrobionet, a database for the exploration of food bacterial communities. The database, available as an app built with the Shiny package of R, includes data from 44 studies and 2234 samples (food or food environment), covering dairy, meat, fruit and vegetables, cereal based and ready-to-eat foods. The interactive interface allows exploration of data, access to external resources (on line versions of the studies, sequence data on SRA, taxonomic databases), filtering samples on the basis of a number of criteria, aggregation of samples and bacterial taxa and export of data in a variety of formats. FoodMicrobionet is the largest collection of data on food bacterial communities and, due to the structure of sample metadata, largely derived from the European Food Safety Agency FoodEx2 classification, makes comparison and re-analysis of data from published and unpublished studies easy. Data exported from FoodMicrobionet can be readily used for graphical and statistical meta-analyses using open-source software (Gephi, Cytoscape, CoNet, and R packages and apps, such as phyloseq and Shiny-Phyloseq) thus providing scientists, risk assessors and industry with a wealth of information on the structure of food biomes.
Identifiants
pubmed: 31207407
pii: S0168-1605(19)30169-2
doi: 10.1016/j.ijfoodmicro.2019.108249
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
108249Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.