Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Using unsorted sweep net samples to rapidly assess macroinvertebrate biodiversity

PROVIDER: PRJNA665929 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12730435_1.fastq.gz	Fastqsanger.gz
	SRR12730435_2.fastq.gz	Fastqsanger.gz
	SRR12730436_1.fastq.gz	Fastqsanger.gz
	SRR12730436_2.fastq.gz	Fastqsanger.gz
	SRR12730437_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 64

Similar Datasets

Project description:Comparison of eDNA and unsorted bulk macroinvertebrate samples

| PRJNA629361 | ENA

Functional in vivo characterization of zebrafish sox10 enhancers in melanoma and neural crest

Project description:We analyzed the epigenetic landscape of five bulk (unsorted) melanoma tumors in a zebrafish melanoma model using ATAC-seq. We find that areas of open chromatin are consistent between tumor samples.

2021-06-01 | GSE145551 | GEO

Fly meal analysis

Project description:Using carrion flies to assess mammalian biodiversity in sub-Saharan Africa

| PRJEB14554 | ENA

Project description:Using surface environmental DNA to assess arthropod biodiversity within a forested ecosystem

| PRJNA988809 | ENA

Effect of Neutrophil Extracellular Traps and Psoriasis-Associated TRAF3IP2 Genotype on Induction of Human Th17 Cells

Project description:Using RNA-sesq to assess effects of NET exposure under different activation conditions, and assessing effects of homozygosity vs. nullizygosity for the Act1 D10N genotype

2019-11-19 | GSE121315 | GEO

Invertebrate

Project description:DNA metabarcoding of freshwater macroinvertebrate samples

| PRJNA550542 | ENA

Epigenome analysis of NET samples

Project description:Epigenome analysis of NET samples

| PRJNA553758 | ENA

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.

2009-01-08 | GSE14318 | GEO

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

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

Epigenome analysis of NET samples

Project description:Genome wide DNA methylation profiling of hereditary and sporadic NET using GPL21145 Bisulphite converted DNA from 96 samples were hybridised to the Illumina Infinium Epic Human Methylation Beadchip

2020-07-09 | GSE134089 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data