Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Metagenomic analysis of mosquito excreta for environmental virome sampling

PROVIDER: PRJNA631724 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11770200_1.fastq.gz	Fastqsanger.gz
	SRR11770200_2.fastq.gz	Fastqsanger.gz
	SRR11770201_1.fastq.gz	Fastqsanger.gz
	SRR11770201_2.fastq.gz	Fastqsanger.gz
	SRR11770202_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 106

Similar Datasets

Project description:Amplicon-based metagenomic analysis of mosquito excreta

| PRJNA768434 | ENA

Project description:Mosquito virome from Madagascar

| PRJNA1004570 | ENA

Project description:Research on the mosquito virome

| PRJNA1301304 | ENA

Project description:Aedes mosquito virome in southwest Cameroon

| PRJNA1089369 | ENA

Project description:Aedes mosquito virome in the DRC

| PRJNA1200724 | ENA

Mosquito gut microbiome

Project description:Mosquito microbiota cluster by host sampling location

| PRJNA477711 | ENA

marine metagenome

Project description:Arctic Environmental Sampling Metagenome

| PRJNA29035 | ENA

Metagenomic Analysis of Mosquito Viromes from Zoos Reveals the First Detection of Mosquito-associated Orthobunyaviruses in the UK

Project description:Metagenomic Analysis of Mosquito Viromes from UK Zoos

| PRJEB87852 | 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

Intestinal Flora of ADPKD and Prostate Cancer

Project description:Primary outcome(s): Metagenomic analysis and Metabolome analysis of Intestinal flora before, 2weeks, 1months, 3months, 6months, 12months

| 2636430 | ecrin-mdr-crc

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