In the present study we evaluated the effect of different sequencing depths, host DNA
depletion methods and matrices to characterize the resistome of a milk production environment through whole metagenome shotgun sequencing.
| Accession | PRJNA638876 |
| Data Type | Raw sequence reads |
| Scope | Multispecies |
| Publications | Rubiola S et al., "Detection of Antimicrobial Resistance Genes in the Milk Production Environment: Impact of Host DNA and Sequencing Depth.", Front Microbiol, 2020;11:1983 |
| Grants | - "Progetto TECH4MILK - 333-183 - piattaforma tecnologica bioeconomica" (Grant ID D24I19000980002, Fondo Europeo di Sviluppo Regionale 2014-2020)
- "Approcci innovativi per lo studio ed il controllo dell’antibiotico resistenza nel latte prodotto in Piemonte." (Grant ID ID ROL 61404, Fondazione CRT (Cassa di Risparmio di Torino))
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| Submission | Registration date: 11-Jun-2020
University of Turin |
| Relevance | Medical |
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 6 |
| Publications |
| PubMed | 1 |
| PMC | 1 |
| Other datasets |
| BioSample | 2 |