Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bioreactor metagenome

ABSTRACT: Genome-resolved metagenomics of marine perchlorate-reducing communities

PROVIDER: PRJNA387015 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR5894285_1.fastq.gz	Fastqsanger.gz
	SRR5894285_2.fastq.gz	Fastqsanger.gz
	SRR5894286_1.fastq.gz	Fastqsanger.gz
	SRR5894286_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 29

Similar Datasets

Project description:EMG produced TPA metagenomics assembly of the Genome-resolved metagenomics of marine perchlorate-reducing communities (bioreactor metagenome) data set.

| PRJEB30142 | ENA

Cld_NAC

Project description:Targeted metagenomics of perchlorate reducing bacteria

| PRJEB23448 | ENA

bioreactor metagenome

Project description:Denitrifiers, perchlorate and sulfate reducers

| PRJNA239154 | ENA

bioreactor metagenome

Project description:Metagenome sequencing from the perchlorate enriched consortium

| PRJNA791182 | ENA

bioreactor metagenome

Project description:Sulfate reducing bacteria from a reducing sulfate reactor

| PRJNA345230 | ENA

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

The distant Microbial communities in Tibetan alpine meadow based on Geochip 4.0

Project description:Due to its high altitude and extreme climate conditions, the Tibetan plateau is a region vulnerable to the impact of climate changes and anthropogenic perturbation, thus understanding how its microbial communities function may be of high importance. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, aiming to explore potential microbial responses to climate changes and anthropogenic perturbation. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities in treatment site were distinct, compared with those in control site, e.g. shrubland vs grassland, grazing site vs ungrazing site, or warmer site vs colder site. Substantial variations were apparent in stress, N and C cycling genes, but they were in line with the functional roles of these genes.

2013-11-16 | GSE52425 | GEO

An autotrophic bioreactor community degrading thiocyanate

Project description:Genome-resolved metagenomics of an autotrophic thiocyanate-remediating microbial bioreactor consortium

| PRJEB32091 | ENA

bioreactor metagenome

Project description:Haloalkaline sulfate/thiosulfate reducing bioreactor Raw sequence reads

| PRJNA299761 | ENA

The Microbial Gene Diversity along an Elevation Gradient of the Tibetan alpine meadow

Project description:Tibet is one of the most threatened regions by climate warming, thus understanding how its microbial communities function may be of high importance for predicting microbial responses to climate changes. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, aiming to explore potential microbial responses to climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities were distinct for most but not all of the sites. Substantial variations were apparent in stress, N and C cycling genes, but they were in line with the functional roles of these genes. sixty-three samples were collected from four elevations (3200,3400,3600 and 3800 m) along a Tibetan alpine meadow; Three replicates in each treatment

2013-11-16 | E-GEOD-52425 | biostudies-arrayexpress

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