Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

N. uzonensis-like metagenome sequencing

ABSTRACT: N. uzonensis-like metagenome sequencing

PROVIDER: PRJEB20386 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR1923991_1.fastq.gz	Fastqsanger.gz
	ERR1923991_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Thermoanaerobacter uzonensis

Project description:Thermoanaerobacter uzonensis overview

| PRJNA1248080 | ENA

Candidatus Nitrosotenuis uzonensis

Project description:Candidatus Nitrosotenuis uzonensis

| PRJEB4650 | ENA

Thermoanaerobacter uzonensis strain:AK85

Project description:Thermoanaerobacter uzonensis strain:AK85 Genome sequencing

| PRJNA1108289 | ENA

Thermoanaerobacter uzonensis DSM 18761

Project description:Thermoanaerobacter uzonensis DSM 18761 Genome sequencing

| PRJNA245736 | ENA

Soil metagenome from avocado orchards in Channybearup, Western Australia in 2024

Project description:Metagenome data from soil samples were collected at 0 to 10cm deep from 2 avocado orchards in Channybearup, Western Australia, in 2024. Amplicon sequence variant (ASV) tables were constructed based on the DADA2 pipeline with default parameters.

2025-06-15 | GSE298403 | GEO

Caldalkalibacillus uzonensis strain:DSM 17740 | isolate:DSM 17740

Project description:Caldalkalibacillus uzonensis DSM 17740 genome sequencing

| PRJNA708391 | ENA

Defining the Secrebiome: the expressed secretome of the gut microbiome and its role in obese Mexican children

Project description:high throughput sequencing of the metagenome of mexican children

2020-03-16 | GSE143207 | GEO

Metagenome sequencing of feces of mouse treated D-galactose or not

Project description:D-galactose orally intake ameliorate DNCB-induced atopic dermatitis by modulating microbiota composition and quorum sensing. The increased abundance of bacteroidetes and decreased abundance of firmicutes was confirmed. By D-galactose treatment, Bacteroides population was increased and prevotella, ruminococcus was decreased which is related to atopic dermatitis.

2022-04-29 | E-MTAB-11632 | biostudies-arrayexpress

Nassar2022 - Microbiome sequencing NER model

Project description:Microbiome sequencing model is a Named Entity Recognition (NER) model that identifies and annotates microbiome nucleic acid sequencing method or platform in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with sequencing metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications

2022-02-21 | MODEL2202170012 | BioModels

Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system.

Project description:Biofloc technology is increasingly recognised as a sustainable aquaculture method. In this technique, bioflocs are generated as microbial aggregates that play pivotal roles in assimilating toxic nitrogenous substances, thereby ensuring high water quality. Despite the crucial roles of the floc-associated bacterial (FAB) community in pathogen control and animal health, earlier microbiota studies have primarily relied on the metataxonomic approaches. Here, we employed shotgun sequencing on eight biofloc metagenomes from a commercial aquaculture system. This resulted in the generation of 106.6 Gbp, and the reconstruction of 444 metagenome-assembled genomes (MAGs). Among the recovered MAGs, 230 were high-quality (≥90% completeness, ≤5% contamination), and 214 were medium-quality (≥50% completeness, ≤10% contamination). Phylogenetic analysis unveiled Rhodobacteraceae as dominant members of the FAB community. The reported metagenomes and MAGs are crucial for elucidating the roles of diverse microorganisms and their functional genes in key processes such as nitrification, denitrification, and remineralization. This study will contribute to scientific understanding of phylogenetic diversity and metabolic capabilities of microbial taxa in aquaculture environments.

| S-EPMC10582022 | biostudies-literature

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