Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Diagnostic value of metagenomic next generation sequencing for suspected focal infection

PROVIDER: PRJNA556091 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR9733464.fastq.gz	Fastqsanger.gz

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Higher diagnostic value of metagenomic next-generation sequencing in acute infection than chronic infection: a multicenter retrospective study

| PRJNA1059147 | ENA

Project description:Diagnostic value of whole blood metagenomic next-generation sequencing in bloodstream infectious diseases

| PRJNA864580 | ENA

Diagnostic value of Metagenomics Next Generation Sequencing in intracranial infection caused by mucormycosis

Project description:Diagnostic value of Metagenomics Next Generation Sequencing in intracranial infection caused by mucormycosis

| PRJEB43821 | ENA

metagenome

Project description:Application of metagenomic next-generation sequencing in suspected adult central nervous system infection

| PRJNA622772 | ENA

Project description:Metagenomic Next-generation Sequencing as a Pathogenic Diagnostic Testing in Central Nervous System Infection

| PRJNA975344 | 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

Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomesof Wild Type , RIG-I-/-, MAVS -/- mice during influenza infection

Project description:Purpose: The goals of this study are to compare Next-generation sequencing (NGS)-derived transcriptome profiling (RNA-seq) in the lung of three tyeps of mice during influenza infection. Methods: Total RNA from lung was extracted using a modified TRIzol protocol and spectrophometrically quantitated. Library preparation and sequencing were conducted using 3’ inTAG next-generation sequencing . Differential gene expression for day 6 post influenza infection was determined relative to mock inoculated mice. Results: Differentially expressed genes were defined using p-value <0.01 and FDR-corrected p-value <0.1 cutoffs. We identified the transcripts in the lung of RIG-I-/-, MAVS -/- mice during influenza infection Our study represents the first detailed analysis of lung transcriptomes of Wild Type , RIG-I-/-, MAVS -/- mice during influenza infection , with biologic replicates, generated by RNA-seq technology.

2018-11-28 | GSE114232 | GEO

Project description:Metagenomic next-generation sequence data of Suspected Infected Pancreatic Necrosis patients

| PRJNA771396 | ENA

Project description:The diagnostic performance of metagenomics next-generation sequencing in the suspected central nervous system infections

| PRJNA1118056 | ENA

Project description:Metagenomic next-generation sequencing for infection in immunocompromised children

| PRJNA794318 | ENA