Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: High-accuracy meets high-throughput for microbiome profiling with near full-length 16S rRNA amplicon sequencing on the Nanopore platform

PROVIDER: PRJNA974480 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24668200_1.fastq.gz	Fastqsanger.gz
	SRR24668201_1.fastq.gz	Fastqsanger.gz
	SRR24668202_1.fastq.gz	Fastqsanger.gz
	SRR24668203_1.fastq.gz	Fastqsanger.gz
	SRR24668204_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 122

Similar Datasets

Project description:High-throughput accuracy for multiplex amplicon sequencing

| PRJNA245467 | ENA

Project description:Near full-length 16S rRNA amplicon sequencing of ZymoBIOMICS mock

| PRJNA1036680 | ENA

Transcriptome analysis of TSC1 and TSC2 using Nanopore long-read sequencer

Project description:Tuberous sclerosis complex (TSC) is a relatively common autosomal dominant disorder characterized by multiple dysplastic organ lesions and neuropsychiatric symptoms, caused by loss-of-function mutation of either TSC1 or TSC2. Target-capture full-length double-stranded cDNA sequencing using long-read sequencer Nanopore (Nanopore Long-read Target Sequencing) revealed that the various kinds of the TSC1 and TSC2 full-length transcripts and the novel intron retention transcripts of TSC2 in TSC patient. Our results indicate that the Nanopore Long-read Target Sequencing is useful for the detection of mutations and confers information on the full-length alternative splicing transcripts for the genetic diagnosis.

2023-09-04 | GSE241410 | GEO

POEMS syndrome Immunoglobulin sequences

Project description:Full-length immunoglobulin high-throughput sequencing in POEMS syndrome

| PRJEB35157 | ENA

Human immunodeficiency virus 1 strain:Clade C

Project description:High throughput sequencing analysis of near full length genomes of HIV1 clade C from Mumbai, India

| PRJNA493619 | ENA

A Unified Nanopore Platform for Direct Sequencing of Individual Full Length RNA Strands

Project description:A Unified Nanopore Platform for Direct Sequencing of Individual Full Length RNA Strands

| PRJNA598890 | ENA

A Unified Nanopore Platform for Direct Sequencing of Individual Full Length RNA Strands

Project description:A Unified Nanopore Platform for Direct Sequencing of Individual Full Length RNA Strands

| PRJNA598891 | ENA

The spatial landscape of gene expression isoforms in tissue sections

Project description:Mouse brain 10x Genomics Visium Spatial Transcriptomics profiles sequence either with Illumina for standard profiling and Nanopore promethION long read sequencer for full-length profiling.

2020-08-26 | GSE153859 | GEO

Human immunodeficiency virus 1

Project description:HIV-PULSE: A long-read sequencing assay for high-throughput near full-length HIV-1 proviral genome characterization

| PRJNA925880 | ENA

High-throughput manual-quality annotation of full-length long noncoding RNAs with Capture Long-Read Sequencing (CLS)

Project description:Accurate annotations of genes and their transcripts is a foundation of genomics, but no annotation technique presently combines throughput and accuracy. As a result, the GENCODE reference collection of long noncoding RNAs remains far from complete: many are fragmentary, while thousands more remain uncatalogued. To accelerate lncRNA annotation, we have developed RNA Capture Long Seq (CLS), combining targeted RNA capture with third generation long-read sequencing. We present an experimental re-annotation of the entire GENCODE intergenic lncRNA populations in matched human and mouse tissues. CLS approximately doubles the complexity of targeted loci, both in terms of validated splice junctions and transcript models. Through its identification of full-length transcript models, CLS allows the first definitive measurement of promoter features, gene structure and protein-coding potential of lncRNAs. Thus CLS removes a longstanding bottleneck of transcriptome annotation, generating manual-quality full-length transcript models at high-throughput scales.

2017-01-20 | GSE93848 | 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