Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Freshwater metagenome

ABSTRACT: Bacterial community diversity from polluted and non-polluted rivers Metagenome

PROVIDER: PRJNA296529 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR2532590.fastq.gz	Fastqsanger.gz
	SRR2532600.fastq.gz	Fastqsanger.gz
	SRR2532591.fastq.gz	Fastqsanger.gz
	SRR2532601.fastq.gz	Fastqsanger.gz
	SRR2532592.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 18

Similar Datasets

river water metagenome

Project description:Unique Bacterial Emergence in POME polluted Rivers

| PRJNA533718 | ENA

freshwater metagenome

Project description:analyze bacterial diversity and community structure of water samples Metagenome

| PRJNA328922 | 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. Three groups of samples, A, B and C. Every group has 3 replicates.

2016-08-02 | E-GEOD-85064 | biostudies-arrayexpress