Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: METAGENOMICS OF OLD YUMESAMDUNG HOT SPRING MUD

PROVIDER: PRJNA485728 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7698540.fastq.gz	Fastqsanger.gz

Items per page:

1 - 1 of 1

Similar Datasets

In vivo labelling of sediments from Kamchatka Peninsula springs with FP-alkyne

Project description:This experiment aims on the identification of serine hydrolases from a complex thermophile community that live in a hot vent in Kamchatka Peninsula based on in vivo labelling with FP-alkyne directly in the hot spring and subsequent analysis using metagenomics/metaproteomics. To this end, sediment samples were collected and treated using the following three conditions. DMSO- treated control FP-alkyne labelled Samples for each condition were prepared in triplicate, resulting a total number of 6 samples per spring. Labelling was performed using 4 µM of the probe FP-alkyne and incubation for 2 h in the hot spring.

2024-06-03 | PXD025833 | Pride

Project description:METAGENOMICS OF NEW YUMESAMDUNG MUD HOT SPRING

| PRJNA485701 | ENA

Project description:16S rRNA METAGENOMICS OF OYS HOT SPRING SOLFATARIC MUD (DEC)

| PRJNA657147 | ENA

Project description:16S rRNA METAGENOMICS OF TAR HOT SPRING SOLFATARIC MUD (OCT)

| PRJNA657152 | ENA

Project description:16S rRNA METAGENOMICS OF NYS HOT SPRING SOLFATARIC MUD (DEC)

| PRJNA657133 | ENA

Project description:16S rRNA METAGENOMICS OF TAR HOT SPRING SOLFATARIC MUD (DEC)

| PRJNA657154 | ENA

Project description:16S rRNA METAGENOMICS OF NYS HOT SPRING SOLFATARIC MUD (OCT)

| PRJNA657122 | ENA

Project description:16S rRNA METAGENOMICS OF OYS HOT SPRING SOLFATARIC MUD (OCT)

| PRJNA657139 | ENA

hot springs metagenome

Project description:Hot spring metagenomics

| PRJDB11609 | ENA

Climate warming and nutrient enrichment jointly affect microbial functional potentials important to nutrient cycling in shallow-lake mesocosms

Project description:Here, we applied a microarray-based metagenomics technology termed GeoChip 5.0 to investigate spring microbial functional genes in mesocosm-simulated shallow lake ecosystems having been undergoing nutrient enrichment and warming for nine years.

2020-12-30 | GSE155582 | GEO

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