Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Campylobacterota

ABSTRACT: Epsilonproteobacteria MAGs Metagenomic assembly

PROVIDER: PRJNA391989 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR6148292.fastq.gz	Fastqsanger.gz
	SRR6148292_1.fastq.gz	Fastqsanger.gz
	SRR6148292_2.fastq.gz	Fastqsanger.gz
	SRR6148293.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 20

Similar Datasets

Project description:MAGs from metagenomic binning

| PRJNA1166758 | ENA

Project description:Dummy SPIRE v01 TPA metagenomic analyses (assembly + MAGs)

| PRJEB81898 | ENA

Project description:MAGs obtained from metagenomic binning

| PRJNA1170240 | ENA

Cloacimonadetes uncultivated bacteria

Project description:Cloacimonadetes MAGs derived from landfill-associated metagenomes Metagenomic assembly

| PRJNA769048 | ENA

plastisphere metagenome

Project description:Metagenomic assembly and MAGs in plastisphere established within seawater

| PRJNA753633 | ENA

Ramalina polymorpha

Project description:MAGs derrived from epilithic lichen R. polymorpha Metagenomic assembly

| PRJNA1076351 | ENA

lichen metagenome

Project description:Metagenomic sequencing, assembly and annotation of lichenised fungal mycobionts (MAGs)

| PRJNA991097 | ENA

Synergistic effect of short- and long-read sequencing on functional meta-omics

Project description:Evaluation of short-read-only, long-read-only, and hybrid assembly approaches on metagenomic samples demonstrating how they affect gene and protein prediction which is relevant for downstream functional analyses. For a human gut microbiome sample, we use complementary metatranscriptomic, and metaproteomic data to evaluate the metagenomic-based protein predictions.

2022-02-17 | PXD025505 | Pride

several metagenomic assembled genomes (MAGs) from sediments

Project description:several metagenomic assembled genomes (MAGs) from sediments

| PRJNA957236 | ENA

Integrated meta-omic analysis of a lignocellulose-degrading microbial community

Project description:Microbial communities that degrade lignocellulosic biomass are typified by high levels of species- and strain-level complexity, as well as synergistic interactions between both cellulolytic and non-cellulolytic microorganisms. Here we deconvoluted a highly efficient cellulose-degrading and methanogenic consortium (SEM1b) that is co-dominated by Clostridium (Ruminiclostridium) thermocellum and multiple heterogenic strains affiliated to C. proteolyticus. A time-series analysis was performed over the entire lifetime span of the microbial community and comprised of metagenomic, metatranscriptomic, metabolomics, metaproteomic and 16S rRNA gene analysis for 8 time points, in triplicate. Metagenomic analysis of SEM1b recovered metagenome-assembled genomes (MAGs) for each constituent population, whereas in parallel two novel strains of C. proteolyticus were isolated and sequenced. Both the recovered MAGs and the isolated strains were used as a database for further functional meta-omics. Absolute quantitative metatranscriptomics was performed thanks the spike-in of an in vitro transcribed RNA as an internal standard and label-free quantification was used for the metaproteomic analysis. The present dataset has been used for several publications. The first aim of the project was to characterize the interactions between uncultured populations in a lignocellulose-degrading community. Furthermore, because of the in-depth multi-omics characterization of the community, the dataset was used to develop new approaches for meta-omics integration as well as to assess the protein-to-RNA ratio of multiple microbial populations simultaneously. Modifications of multi-omics toolkits allowed us to assess the linearity between transcriptome and proteome for each population over time and reveal deeper functional-related trends and integrative co-dependent metabolisms that drive the overall phenotype of microbial communities.

2020-08-21 | PXD016242 | Pride

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