Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Effect of salt and metal accumulation on performance of membrane distillation system and microbial community succession in membrane biofilms

PROVIDER: PRJNA598812 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10822248_1.fastq.gz	Fastqsanger.gz
	SRR10822248_2.fastq.gz	Fastqsanger.gz
	SRR10822249_1.fastq.gz	Fastqsanger.gz
	SRR10822249_2.fastq.gz	Fastqsanger.gz
	SRR10822250_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 66

Similar Datasets

Project description:microbial diversity on membrane distillation

| PRJNA631862 | ENA

Project description:The effect of magnetic field on fouling development in membrane distillation

| PRJNA609026 | ENA

membrane distillation biofilm

Project description:membrane distillation biofilm Raw sequence reads

| PRJNA481855 | ENA

Project description:Membrane performance in direct contact membrane distillation with a focus on the fouling characteristics at different temperature regions

| PRJNA664301 | ENA

Project description:membrane biofouling under two different operating modes during the purification process of surface water using membrane distillation system

| PRJNA532978 | ENA

Project description:Membrane-aerated biofilms

| PRJNA873052 | ENA

The effect of CuO nanoparticles on gene expression patterns in Daphnia magna

Project description:There is still a lot of contradiction on whether metal ions are solely responsible for the observed the toxicity of ZnO and CuO nanoparticles to aquatic species. While most tests have studied nanoparticle effects at organismal levels (e.g. mortality, reproduction), effects at suborganismal levels may clarify the role of metal ions, nanoparticles and nanoparticle aggregates. In this study, the effect of ZnO, CuO nanoparticles and zinc, copper salts was tested on the gene expression levels in Daphnia magna. D. magna was exposed during 96 hours to 10% immobilization concentrations of all chemicals, after which daphnids were sampled for a differential gene expression analysis using microarray. When comparing the nanoparticle exposed daphnids (ZnO or CuO) to the metal salt exposed daphnids (zinc or copper salt), the microarray results showed no significantly differentially expressed genes. These results indicate that the toxicity of the tested ZnO and CuO nanoparticles to D. magna caused is solely caused by toxic metal ions.

2014-03-01 | GSE54738 | GEO

The effect of ZnO nanoparticles on gene expression patterns in Daphnia magna

2014-03-01 | GSE54736 | GEO

De novo inference of thermodynamic binding energies using deep learning models of in vivo transcription factor binding

Project description:We introduce Affinity Distillation (AD), a method for extracting thermodynamic affinities de-novo from in-vivo immunoprecipitation experiments using deep learning. We show that neural networks modeling base-resolution in-vivo binding profiles of yeast and mammalian TFs can accurately predict energetic impacts of varying underlying DNA sequence on TF binding. Systematic comparisons between Affinity Distillation predictions and other predictive algorithms consistently show that Affinity Distillation more accurately predicts affinities across a wide range of TF structural classes and DNA sequences. Affinity Distillation relies on in-silico marginalization against many sequence backgrounds, resulting in a higher dynamic range and more accurate predictions than motif discovery algorithms. Moreover, we show that Affinity Distillation can learn differential paralog-specific affinities, thereby making it possible to more accurately reconstruct regulatory networks in cells.

2022-06-29 | GSE207001 | GEO

Transcriptome expression in Paspalum vaginatum under salt stress

Project description:Lipid metabolism and antioxidant system contributed to salt salinity tolerance induced by Na+ accumulation in halophytic grass seashore paspalum

2023-05-23 | GSE233155 | 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