Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Campylobacter Surveillance 2019 in Denmark

ABSTRACT: Whole Genome Sequencing Data Used for Surveillance of Campylobacter infections in Denmark, 2019: Detection of a large Continuous Outbreak

PROVIDER: PRJEB41421 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR4879170_1.fastq.gz	Fastqsanger.gz
	ERR4879170_2.fastq.gz	Fastqsanger.gz
	ERR4879180_1.fastq.gz	Fastqsanger.gz
	ERR4879180_2.fastq.gz	Fastqsanger.gz
	ERR4879190_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 1728

Similar Datasets

Salmonella Agona outbreak in 2019

Project description:Salmonella Agona outbreak in 2019

| PRJEB35499 | ENA

Salmonella Agbeni outbreak in Norway 2019

Project description:Salmonella Agbeni outbreak in Norway 2019

| PRJEB38297 | ENA

S. argenteus Denmark

Project description:S. argenteus in Denmark

| PRJEB20633 | ENA

A Mid-Holocene reindeer antler from Regstrup, Sjælland, Denmark

Project description:A small, shed antler fragment of a reindeer from Sjælland, Denmark has been dated to the Mid-Holocene, ca., 4700 cal B.C. Reindeer was an important component of the Lateglacial fauna in Denmark, and the species survived for ca. 1400 years into the Holocene. However, we consider it highly unlikely that this species inhabited Denmark during the Mid-Holocene, when dense forests characterized the vegetation and summer temperatures were somewhat higher than at present. We suggest that the reindeer antler came to Sjælland from Norway or Sweden as a result of trade, perhaps involving flint.

2021-11-25 | PXD024143 | Pride

IPD outbreak 2019

Project description:Outbreak of invasive pneumococcal disease connected to shipyard, Finland, May-October 2019

| PRJEB35348 | ENA

Salmonella Enteritidis outbreak in France in November 2019

Project description:Salmonella Enteritidis outbreak in France in November 2019

| PRJEB35997 | ENA

Transcriptional profiling of mouse CRL-2019 cell line of MH-S cells treated with recombinant PVL versus untreated.

Project description:cDNA microarray of the cellline MH-S cells (ATCC: CRL-2019) that were treated with recombinant PVL (rPVL) versus untreated cells

2010-12-21 | E-MEXP-2513 | biostudies-arrayexpress

Tang2020 - Estimation of transmission risk of COVID-19 and impact of public health interventions - update

Project description:The basic reproduction number of an infectious agent is the average number of infections one case can generate over the course of the infectious period, in a naïve, uninfected population. It is well-known that the estimation of this number may vary due to several methodological issues, including different assumptions and choice of parameters, utilized models, used datasets and estimation period. With the spreading of the novel coronavirus (2019-nCoV) infection, the reproduction number has been found to vary, reflecting the dynamics of transmission of the coronavirus outbreak as well as the case reporting rate. Due to significant variations in the control strategies, which have been changing over time, and thanks to the introduction of detection technologies that have been rapidly improved, enabling to shorten the time from infection/symptoms onset to diagnosis, leading to faster confirmation of the new coronavirus cases, our previous estimations on the transmission risk of the 2019-nCoV need to be revised. By using time-dependent contact and diagnose rates, we refit our previously proposed dynamics transmission model to the data available until January 29th, 2020 and re-estimated the effective daily reproduction ratio that better quantifies the evolution of the interventions. We estimated when the effective daily reproduction ratio has fallen below 1 and when the epidemics will peak. Our updated findings suggest that the best measure is persistent and strict self-isolation. The epidemics will continue to grow, and can peak soon with the peak time depending highly on the public health interventions practically implemented.

2024-09-02 | BIOMD0000000972 | BioModels

Recent genetic history of Denmark

Project description:The "Where Are You From?" project explores the extent to which recent and more distant historical events left their mark on the genetic structure of the current Danish population. The project's ultimate goal is to gain insights into the historical complexity of Denmark from the genetic perspective. To this goal, a data set consisting of approximately 800 high school students from across Denmark was used to run an extensive genetic analysis.

| EGAS00001001868 | EGA

Folsomia candida strain:Denmark

Project description:Folsomia candida strain:Denmark Transcriptome or Gene expression

| PRJNA239929 | ENA