Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: 16S rDNA sequencing data of Dutch dental unit water

PROVIDER: PRJNA690093 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13372600_1.fastq.gz	Fastqsanger.gz
	SRR13372600_2.fastq.gz	Fastqsanger.gz
	SRR13372700_1.fastq.gz	Fastqsanger.gz
	SRR13372700_2.fastq.gz	Fastqsanger.gz
	SRR13372800_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 448

Similar Datasets

Hot spots of DNA double-strand breaks and genomic contacts of human rDNA units are involved in epigenetic regulation [rDNA units]

Project description:4C procedure was used for analysis of genomic contacts of rDNA units in HEK 293T cells. The primers for 4C were selected inside IGS. Our data indicate that mostly rDNA units exhibit close proximity with pericentromeric regions in different chromosomes. We also detected the contacts within a rDNA unit and between rDNA units. Examination of rDNA genome-wide contacts in HEK 293T cells using 4C approach.

2014-10-04 | E-GEOD-49193 | biostudies-arrayexpress

Hot spots of DNA double-strand breaks and genomic contacts of human rDNA units are involved in epigenetic regulation [rDNA units]

2014-10-04 | GSE49193 | GEO

Meta-omics analysis indicates the saliva microbiome and its proteins associated with the prognosis of oral cancer patients

Project description:The relationship between the microbial changes with clinical-pathological outcomes are still far from being conclusive. Herein, we investigate the ability of metagenomics (MG) and metaproteomics (MP) saliva data in distinguishing C, L0 and L1 patients. For that, we combined two strategies using MG analysis using 16S rDNA sequencing of saliva cells, and MP analysis using liquid chromatography tandem mass spectrometry of saliva supernatant and cells.

2022-11-09 | PXD022859 | Pride

16S rDNA (v3-v4 region) sequencing of the cecal bacteria in control (CTL) and chronic nonbacterial prostatitis (CNP) rats

Project description:Prostate of SD rats was injected with 0.1 ml 1% carrageenan to induce chronic nonbacterial prostatitis, and the control rats injected with sterile saline. Then, the cecal contents were collected for 16S rDNA sequencing.

2021-07-07 | GSE179639 | GEO

Project description:Human dental plaque sample 16S rDNA amplicon sequencing

| PRJNA867167 | ENA

Project description:16S rDNA sequencing data

| PRJNA1159510 | ENA

Project description:16s rDNA sequencing data

| PRJNA814101 | ENA

ena-DATASET-KULVIB-04-03-2016-10:53:34:991-129 - samples

Project description:Firs 1106 16S rDNA data for the Flemish Gut Flora Project

| EGAD00001001936 | EGA

Characterization of the Bacterial Diversity of Drinking Water From 3 Parisian Treatment Plants Using Genomic Approaches

Project description:We characterized the bacterial diversity of chlorinated drinking water from three surface water treatment plants supplying the city of Paris, France. For this purpose, we used serial analysis of V6 ribosomal sequence tag (SARST-V6) to produce concatemers of PCR-amplified ribosomal sequence tags (RSTs) from the V6 hypervariable region of the 16S rRNA gene for sequence analysis. Using SARST-V6, we obtained bacterial profiles for each drinking water sample, demonstrating a strikingly high degree of biodiversity dominated by a large collection of low-abundance phylotypes. In all water samples, between 57.2-77.4% of the sequences obtained indicated bacteria belonging to the Proteobacteria phylum. Full-length 16S rDNA sequences were also generated for each sample, and comparison of the RSTs with these sequences confirmed the accurate assignment for several abundant bacterial phyla identified by SARST-V6 analysis, including members of unclassified bacteria, which account for 6.3-36.5% of all V6 sequences. These results suggest that these bacteria may correspond to a common group adapted to drinking water systems. The V6 primers used were subsequently evaluated with a computer algorithm to assess their hybridization efficiency. Potential errors associated with primer-template mismatches and their impacts on taxonomic group detection were investigated. The biodiversity present in all three drinking water samples suggests that the bacterial load of the drinking water leaving treatment plants may play an important role in determining the downstream community dynamics of water distribution networks. 3 different drinking water samples (Orly, Ivry, Joinville drinking water sample)

2009-01-07 | E-GEOD-14318 | biostudies-arrayexpress

Characterization of the Bacterial Diversity of Drinking Water From 3 Parisian Treatment Plants Using Genomic Approaches

2009-01-08 | GSE14318 | GEO