Four European Salmonella Typhimurium datasets collected to develop WGS-based source attribution methods
| Autor: | Nanna Sophia Mucha Munck, Sandra Simon, Rolf Sommer Kaas, Eva Litrup, Maria Borowiak, Laurent Guillier, Yue Tang, Timothy J. Dallman, Tine Hald, Anika Meinen, Liljana Petrovska, Burkhard Malorny, Michèle Gourmelon, Sangeeta Banerji, Federica Palma, Pimlapas Leekitcharoenphon |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Salmonella typhimurium
Statistics and Probability Data Descriptor Salmonella Denmark Sequencing data Computational biology Library and Information Sciences Biology medicine.disease_cause DNA sequencing Education 03 medical and health sciences SDG 3 - Good Health and Well-being Germany Zoonoses Environmental Microbiology medicine Animals Humans ddc:610 lcsh:Science Disease Reservoirs 030304 developmental biology Whole genome sequencing 0303 health sciences Whole Genome Sequencing 030306 microbiology Bacteriology United Kingdom 3. Good health Computer Science Applications Metadata Salmonella Food Poisoning lcsh:Q France Typing methods Statistics Probability and Uncertainty Bacterial infection Attribution 610 Medizin und Gesundheit Information Systems |
| Zdroj: | Scientific Data (2052-4463) (Springer Science and Business Media LLC), 2020-03, Vol. 7, N. 1, P. 75 (12p.) Scientific Data, Vol 7, Iss 1, Pp 1-12 (2020) Scientific Data Munck, N S M, Leekitcharoenphon, P, Litrup, E, Kaas, R S, Meinen, A, Guillier, L, Tang, Y, Malorny, B, Palma, F, Borowiak, M, Gourmelon, M, Simon, S, Banerji, S, Petrovska, L, Dallman, T J & Hald, T 2020, ' Four European Salmonella Typhimurium datasets collected to develop WGS-based source attribution methods ', Scientific Data, vol. 7, no. 1, 75 . https://doi.org/10.1038/s41597-020-0417-7 |
| DOI: | 10.1038/s41597-020-0417-7 |
| Popis: | Zoonotic Salmonella causes millions of human salmonellosis infections worldwide each year. Information about the source of the bacteria guides risk managers on control and preventive strategies. Source attribution is the effort to quantify the number of sporadic human cases of a specific illness to specific sources and animal reservoirs. Source attribution methods for Salmonella have so far been based on traditional wet-lab typing methods. With the change to whole genome sequencing there is a need to develop new methods for source attribution based on sequencing data. Four European datasets collected in Denmark (DK), Germany (DE), the United Kingdom (UK) and France (FR) are presented in this descriptor. The datasets contain sequenced samples of Salmonella Typhimurium and its monophasic variants isolated from human, food, animal and the environment. The objective of the datasets was either to attribute the human salmonellosis cases to animal reservoirs or to investigate contamination of the environment by attributing the environmental isolates to different animal reservoirs. Measurement(s)sequence_assembly • DNATechnology Type(s)sequence assembly process • DNA sequencing • Paired-End SequencingFactor Type(s)geographic location • Salmonella Typhimurium isolate sourceSample Characteristic - OrganismSalmonellaSample Characteristic - LocationKingdom of Denmark • Germany • United Kingdom • French Republic Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11816748 |
| Databáze: | OpenAIRE |
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