Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Community structure and diversity of periphytic biofilms in different habitats

PROVIDER: PRJNA1004071 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR25593800_1.fastq.gz	Fastqsanger.gz
	SRR25593800_2.fastq.gz	Fastqsanger.gz
	SRR25593801_1.fastq.gz	Fastqsanger.gz
	SRR25593801_2.fastq.gz	Fastqsanger.gz
	SRR25593802_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 82

Similar Datasets

biofilm metagenome

Project description:Community composition of lake periphytic biofilms

| PRJNA475256 | ENA

Project description:Periphytic bacterial biofilms

| PRJNA736027 | ENA

Project description:Periphytic microeukaryotic biofilms

| PRJNA736044 | ENA

Project description:16S rRNA of periphytic biofilms

| PRJNA1090280 | ENA

Study of microbial functional structure in Xiangjiang River sediment

Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River. Three groups of samples, A, B and C. Every group has 3 replicates.

2016-08-02 | E-GEOD-85064 | biostudies-arrayexpress

Towards functional profiling for eDNA based monitoring in coastal environments: a comparison of three approaches

Project description:Monitoring microbial communities can aid in understanding the state of these habitats. Environmental DNA (eDNA) techniques provide efficient and comprehensive monitoring by capturing broader diversity. Besides structural profiling, eDNA methods allow the study of functional profiles, encompassing the genes within the microbial community. In this study, three methodologies were compared for functional profiling of microbial communities in estuarine and coastal sites in the Bay of Biscay. The methodologies included inference from 16S metabarcoding data using Tax4Fun, GeoChip microarrays, and shotgun metagenomics.

2024-04-14 | E-MTAB-13075 | biostudies-arrayexpress

Study of microbial functional structure in Xiangjiang River sediment

2016-08-02 | GSE85064 | GEO

Project description:Diversity of bacterial community structureof biological soil crusts under different habitats

| PRJNA781753 | ENA

ecological metagenomes------groundwater metagenome

Project description:Diversity and community structure of biofilms found on Leizhou stone dog

| PRJNA691383 | ENA

Clinical study on the effect of virtual reality technology on intestinal function of patients undergoing gastrointestinal surgery during fasting

Project description:Interventions: Experimental group:Use virtual reality equipment;Control group:Routine medical care measures Primary outcome(s): Intestinal microflora diversity and community structure distribution;Diamine oxidase;Intestinal fatty acid binding protein;Time of first postoperative defecation;Time of first postoperative exhaust;Recovery time of first bowel sounds Study Design: Parallel

| 2759490 | ecrin-mdr-crc

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