Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Metagenome of Eutrophic Lake

PROVIDER: PRJNA844179 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR19497811_1.fastq.gz	Fastqsanger.gz
	SRR19497811_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Metaproteomics of phototrophic biomats from two soda lakes in the Canadian Rocky Mountains

Project description:This data is a case study done in the context of developing methods for assessing the taxonomic composition of microbial communities using metaproteomics. For this study with analyzed phototrophic biomats from two Soda Lakes in the Canadian Rocky Mountains using metaproteomics. For protein identification we generated a metagenome from which we predicted and annotated the protein sequences used to analyze the metaproteomes. The database is available in this PRIDE submission. Lake1 refers to Goodenough Lake (GEM, 51°19'47.64"N 121°38'28.90"W) and Lake2 referes to Last Chance Lake (LCM, 51°19'39.3" N 121°37'59.3"W).

2017-05-12 | PXD006343 | Pride

Project description:eutrophic lake and pond sediments

| PRJNA906637 | ENA

freshwater sediment metagenome

Project description:metagenomics in eutrophic lake Donghu

| PRJNA909471 | ENA

Diel cycles of gene expression in oligotrophic, dystrophic, and eutrophic lakes to identify new gene functions and dissect carbon cycling metabolisms

Project description:Aquatic microbial communities contain a vast amount of genetic diversity and we have much to learn about how this manifests to functional diversity. Existing long-term time series data includes 16S tags, metagenomes, single amplified genomes (SAGs), and genomes from metagenomes (GFMs). Information about functional diversity and metabolic capabilities is often unavailable. The study sites include three lakes that are the subject of intense study through the North Temperate Lakes Long Term Ecological Research site: Sparkling Lake (oligotrophic), Lake Mendota (eutrophic), and Trout Bog Lake (dystrophic). The work (proposal:https://doi.org/10.46936/10.25585/60000947) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.

2023-11-02 | MSV000093272 | MassIVE

lake water metagenome

Project description:Eutrophic lake water microbial communities from Lake Mendota, Wisconsin, USA - GEODES117 metaG metagenome

| PRJNA368373 | ENA

lake water metagenome

Project description:Eutrophic lake water microbial communities from Lake Mendota, Wisconsin, USA - GEODES118 metaG metagenome

| PRJNA368374 | ENA

Project description:water metagenomics in eutrophic lake Donghu

| PRJNA910294 | ENA

lake water metagenome

Project description:Metagenome of Eutrophic Water

| PRJNA973269 | ENA