Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Aquatic metagenome

ABSTRACT: Rhode River viral and microbial metagenomes

PROVIDER: PRJNA599167 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11784303_subreads.fastq.gz	Fastqsanger.gz
	SRR11784304_subreads.fastq.gz	Fastqsanger.gz
	SRR11784305_subreads.fastq.gz	Fastqsanger.gz
	SRR11784306_subreads.fastq.gz	Fastqsanger.gz
	SRR11784307_subreads.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 214

Similar Datasets

aquatic metagenome

Project description:Amazon Continuum Metagenomes

| PRJNA237344 | ENA

Columbia River sediment HUM-V (Hyporheic Uncultured Microbial and Viral) database metaproteome

Project description:Metaproteomic data for Rodriguez-Ramos, et al. interrogating microbial and viral communities of hyporheic river sediments within the Columbia River. Samples were digested with trypsin, and analyzed by LC-MS/MS. Data was searched with MS-GF+ using PNNL's DMS Processing pipeline.

2021-04-28 | MSV000087330 | MassIVE

aquatic metagenome

Project description:Microbial diversity in a river impacted by anthropogenic inputs

| PRJNA275052 | ENA

aquatic metagenome

Project description:Studies of microbial diversity on natural river water with mix culture

| PRJNA662506 | ENA

aquatic metagenome

Project description:Bangladesh Surface and Ground Water Metagenomes

| PRJNA260804 | ENA

aquatic metagenome

Project description:Peninsula Iberica serpentinization-driven deep aquifer metagenomes

| PRJNA421137 | ENA

aquatic metagenome

Project description:Oskarshamn and Asko sediment metagenomes (Raw sequence reads)

| PRJNA721298 | ENA

Study of microbial functional structure in Xiangjiang River sediment

Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River.

2016-08-02 | GSE85064 | GEO

Mosquito Metagenome

Project description:Viral metagenomes from mosquitos

| PRJNA28723 | ENA

freshwater metagenome

Project description:Lough Neagh viral metagenomes

| PRJNA292054 | ENA