Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Animal gut metagenome assembly of five vertebrate classes

ABSTRACT: Large scale metagenome assembly reveals novel animal-associated microbial diversity

PROVIDER: PRJEB38078 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	X101_Horse__maxbin2_high_prob.001.contigs.fa.gz	Other
	X103_Eurasian_Blackcap__maxbin2_high_prob.002.contigs.fa.gz	Other
	X103_Eurasian_Blackcap__maxbin2_low_prob.003.contigs.fa.gz	Other
	X103_Eurasian_Blackcap__metabat2_low_PE.003.contigs.fa.gz	Other
	X108_Striped_Desert_Hamster__metabat2_low_PE.001.contigs.fa.gz	Other

Items per page:

1 - 5 of 1551

Similar Datasets

MIC-Drop-seq: Scalable single-cell phenotyping of mutant vertebrate embryos

Project description:Pooled perturbation screens can reveal cellular regulatory networks, yet scaling these techniques for large-scale screens in animals remains challenging. To address this, we developed MIC-Drop-seq, which combines high-throughput CRISPR gene disruption in zebrafish embryos with phenotyping by multiplexed single-cell RNAseq. In one MIC-Drop-seq experiment, we simultaneously identified changes in gene expression and cell abundance across 74 cell types resulting from loss of function of 50 transcription factors. These observations recapitulated many known phenotypes, while also uncovering novel functions in brain and mesoderm development. A key advantage of whole-animal screens is that they reveal how changes in one cell type affect the development of other cell types. Surprisingly, such cell-extrinsic phenotypes were abundant, indicating that transcription factors frequently exert effects beyond the cells where they are expressed to adjacent cells. We propose that MIC-Drop-seq will facilitate efforts to dissect the complete gene regulatory networks that guide animal development.

2026-01-02 | GSE315445 | GEO

aquatic animal

Project description:aquatic animal Assembly

| PRJNA835981 | ENA

Microbial community composition from dried fecal material of five animal species

Project description:Shotgun metagenomes of dried animal feces.

| PRJEB80559 | ENA

The ancestral gene repertoire of animal stem cells

Project description:This work reveals the deeply conserved gene repertoire of animal stem cells, from sponges to mammals.

2015-12-04 | GSE75649 | GEO

Animal gut microbiome

Project description:Animal gut microbiome

| PRJEB32496 | ENA

aquatic animal

Project description:aquatic animal Raw sequence reads

| PRJNA835979 | ENA

Animal feed

Project description:CVM animal feed microbiome 16S

| PRJNA1093005 | ENA

Animal food

Project description:CVM animal feed microbiome shotgun

| PRJNA1093003 | ENA

Animal food

Project description:CVM animal feed microbiome shotgun

| PRJNA1189121 | ENA

The ancestral gene repertoire of animal stem cells

Project description:This work reveals the deeply conserved gene repertoire of animal stem cells, from sponges to mammals. mRNA profiles totipotent stem cells (archeocytes), choanocytes, other differentiated cell types in a freshwater sponge and were mapped on the reference transcriptome generated in the same study

2015-12-04 | E-GEOD-75649 | 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