Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Tracking antibiotic resistome during wastewater treatment using high throughput quantitative PCR

PROVIDER: PRJNA445514 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR6897060.fastq.gz	Fastqsanger.gz
	SRR6897070.fastq.gz	Fastqsanger.gz
	SRR6897080.fastq.gz	Fastqsanger.gz
	SRR6897090.fastq.gz	Fastqsanger.gz
	SRR6897100.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 114

Similar Datasets

Project description:Antibiotic resistome in PM1.0 from wastewater treatment plants

| PRJNA989760 | ENA

Project description:Full size-fractionated antibiotic resistome in wastewater treatment plants

| PRJNA639397 | ENA

Project description:fractionated antibiotic resistome in wastewater

| PRJNA687102 | ENA

Project description:Rhizosphere influences the microbial communities and antibiotic resistome during wastewater treatment

| PRJNA729178 | ENA

synthetic construct

Project description:A high-throughput assay for quantitative measurement of PCR errors

| PRJNA352143 | ENA

Project description:wastewater treatment plant influents_16S rRNA gene-high throughput sequqencing

| PRJNA449806 | ENA

Project description:high-throughput sequencing of wastewater treatment plant activated sludge

| PRJNA578001 | ENA

seawater metagenome

Project description:Quantitative monitoring of environmental DNA using high-throughput sequencing

| PRJDB5570 | ENA

Project description:Resistome of effluents of wastewater treatment plants

| PRJNA413894 | ENA

Dlk1-Mediated Temporal regulation of Notch Signaling is Required for Differentiation of Alveolar Type II to Type I Cells during Lung Repair

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: Lung epithelia cells were collected after 10 days of treatment by pseudomonas aeruginosa (PA), RNA-Seq and qRT-PCR were applied to analyze the high-throughput data Results: In general, the mutant type II-like cells expressed higher levels of type I cell markers and lower levels of type II cell markers

2019-03-12 | GSE124259 | 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