Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Algal metagenome

ABSTRACT: Shotgun metagenomic sequencing of the epiphytic communities in Cladophora mats from Lake Michigan

PROVIDER: PRJNA526911 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8729110_1.fastq.gz	Fastqsanger.gz
	SRR8729110_2.fastq.gz	Fastqsanger.gz
	SRR8729111_1.fastq.gz	Fastqsanger.gz
	SRR8729111_2.fastq.gz	Fastqsanger.gz
	SRR8729112_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 20

Similar Datasets

algal metagenome

Project description:Shotgun metagenomic sequencing of the epiphytic communities in Cladophora mats from Lake Michigan

| PRJNA526911 | ENA

Gene expression in the olfactory epithelia of parasitic and reproductive adult sea lampreys

Project description:To determine gene expression differences in the olfactory epithelium of sea lamprey between sequential yet behaviorally distinct adult life history stages 2 samples: parasitic adults removed from fish in northern Lake Huron and Lake Michigan in February and March, and reproductive adults collected from Lake Huron and Lake Michigan tributaries in June

2011-11-30 | E-GEOD-24467 | biostudies-arrayexpress

Project description:Microbial Assemblage on Cladophora Mats

| PRJNA843787 | ENA

Human Skin Metagenome Associated with Acne

Project description:<p>Studies have emphasized the importance of disease-associated microorganisms in perturbed communities, however, the protective roles of commensals are largely under recognized and poorly understood. Using acne as a model disease, we investigated the determinants of the overall virulence property of the skin microbiota when disease- and health-associated organisms coexist in the community. By ultra-deep metagenomic shotgun sequencing, we revealed higher relative abundances of propionibacteria and Propionibacterium acnes phage in healthy skin. In acne patients, the microbiome composition at the species level and at P. acnes strain level was more diverse than in healthy individuals, with enriched virulence-associated factors and reduced abundance of metabolic synthesis genes. Based on the abundance profiles of the metagenomic elements, we constructed a quantitative prediction model, which classified the clinical states of the host skin with high accuracy in both our study cohort (85%) and an independent sample set (86%). Our results suggest that the balance between metagenomic elements, not the mere presence of disease-associated strains, shapes the overall virulence property of the skin microbiota. This study provides new insights into the microbial mechanism of acne pathogenesis and suggests probiotic and phage therapies as potential acne treatments to modulate the skin microbiota and to maintain skin health.</p>

| phs001655 | dbGaP

Zearalenone-induced aberration in gut microbiome composition and function are associated with degeneration in ovary reserve

Project description:We applied metagenomic shotgun sequencing to investigate the effects of ZEA exposure on the change of mouse gut microbiota composition and function.

2019-11-09 | GSE140149 | GEO

stromatolite metagenome

Project description:Socompa Lake Stromatolite Shotgun Metagenomic Sequencing

| PRJNA317551 | ENA

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): from reads to pathogens. A specific and exhaustive pipeline for handling metagenomic shotgun sequencing data.

Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.

2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): from reads to pathogens. A specific and exhaustive pipeline for handling metagenomic shotgun sequencing data.

2021-07-26 | E-MTAB-9191 | biostudies-arrayexpress

Xenomicrobiota transplant experiment

Project description:Gut microbes elicit specific changes in gene expression in the colon of mice. We colonized germ-free mice with microbial communities from the guts of humans, zebrafish and termites, human skin and tongue, soil and estuarine microbial mats. We used microarrays to detail the differences in global gene expression in colon tissue that are caused by the different microbial communities 28 days after gavage into the germfree animal. Three biological replicates per group, male C57BL/6 mice (12-16 weeks old)

2014-10-02 | E-GEOD-57589 | biostudies-arrayexpress

A transcriptomics approach to compare transcriptomes of individual methylotrophs from Lake Washington sediment in artificial communities and in pure cultures.

Project description:We established simple synthetic microbial communities in a microcosm model system to determine the mechanisms that underlay cross-feeding in microbial methane-consuming communities. Co-occurring strains from Lake Washington sediment were used that are involved in methane consumption, a methanotroph and two non-methanotrophic methylotrophs.

2016-12-26 | GSE85736 | 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