Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: High-throughput sequencing of activated sludge microorganisms

PROVIDER: PRJNA943050 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR23795127_1.fastq.gz	Fastqsanger.gz
	SRR23795127_2.fastq.gz	Fastqsanger.gz
	SRR23795128_1.fastq.gz	Fastqsanger.gz
	SRR23795128_2.fastq.gz	Fastqsanger.gz
	SRR23795129_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 10

Similar Datasets

Project description:High-throughput sequencing of activated sludge microorganisms

| PRJNA1122333 | ENA

E-GEOD-63405

Project description:Transcription profiling by high throughput sequencing of Arabidopsis gemin2 mutant

2019-05-14 | E-GEOD-63405 | ExpressionAtlas

E-MTAB-4270

Project description:Transcription profiling by high throughput sequencing of soybean transcriptome data

2019-05-15 | E-MTAB-4270 | ExpressionAtlas

Microbial community functional structures in wastewater treatment plants as characterized by GeoChip

Project description:To understand microbial community functional structures of activated sludge in wastewater treatment plants (WWTPs) and the effects of environmental factors on their structure, 12 activated sludge samples were collected from four WWTPs in Beijing. GeoChip 4.2 was used to determine the microbial functional genes involved in a variety of biogeochemical processes. The results showed that, for each gene category, such as egl, amyA, nir, ppx, dsrA sox and benAB, there were a number of microorganisms shared by all 12 samples, suggestive of the presence of a core microbial community in the activated sludge of four WWTPs. Variance partitioning analyses (VPA) showed that a total of 53% of microbial community variation can be explained by wastewater characteristics (25%) and operational parameters (23%), respectively. This study provided an overall picture of microbial community functional structures of activated sludge in WWTPs and discerned the linkages between microbial communities and environmental variables in WWTPs.

2014-01-15 | GSE54055 | GEO

E-GEOD-66217

Project description:Transcription profiling by high throughput sequencing of the developing human cortex

2025-01-24 | E-GEOD-66217 | ExpressionAtlas

E-MTAB-4350

Project description:Transcription profiling by high throughput sequencing in Ten Different Grapevine Cultivars

2016-02-02 | E-MTAB-4350 | ExpressionAtlas

E-GEOD-59612

Project description:Transcription profiling by high throughput sequencing in the margins of glioblastoma

2025-01-24 | E-GEOD-59612 | ExpressionAtlas

E-GEOD-84606

Project description:Transcription profiling by high throughput sequencing of Arabidopsis hos1-3 seedlings

2017-02-20 | E-GEOD-84606 | ExpressionAtlas

E-GEOD-77428

Project description:Transcription profiling by high throughput sequencing of Arabidopsis pdx3 mutant plants

2017-02-23 | E-GEOD-77428 | ExpressionAtlas

E-GEOD-63042

Project description:Transcription profiling by high throughput sequencing of sepsis survival and death

2025-01-24 | E-GEOD-63042 | ExpressionAtlas

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