Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Genome assembly of Echinometra sp. EZ

PROVIDER: PRJNA846775 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR19575084_subreads.fastq.gz	Fastqsanger.gz
	SRR19575085_1.fastq.gz	Fastqsanger.gz
	SRR19575085_2.fastq.gz	Fastqsanger.gz
	SRR19575086_1.fastq.gz	Fastqsanger.gz
	SRR19575086_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 5

Similar Datasets

Echinometra sp. EZ

Project description:Echinometra sp. EZ Raw sequence reads

| PRJNA1156036 | ENA

Project description:Population genomic analyses of the sea urchin, Echinometra sp. EZ, across an extreme environmental gradient

| PRJNA613076 | ENA

Staphylococcus sp. EZ-P03

Project description:Staphylococcus sp. EZ-P03 Genome sequencing and assembly

| PRJNA482129 | ENA

Paenibacillus sp. EZ-K15

Project description:Paenibacillus sp. EZ-K15 Genome sequencing and assembly

| PRJNA413656 | ENA

Echinometra mathaei

Project description:Echinometra mathaei Genome sequencing and assembly

| PRJNA1312048 | ENA

Echinometra mathaei

Project description:Echinometra mathaei Genome sequencing and assembly

| PRJNA1261635 | ENA

Echinometra mathaei

Project description:Echinometra mathaei Genome sequencing and assembly

| PRJNA1312056 | ENA

Echinometra mathaei

Project description:Echinometra mathaei Genome sequencing and assembly

| PRJNA1312050 | ENA

eeEchMath1

Project description:Echinometra mathaei, genomic assembly, eeEchMath1

| PRJEB97364 | ENA

Antiviral and anti-inflammatory properties of novel anti-HIV candidate ABX464 promotes specifics RNA splicing while preserving cellular RNA integrity.

Project description:Purpose: To ensure that ABX464 acted specifically on HIV splicing and did not significantly or globally affect the splicing events of human genes, we used an assembly approach of HIV (YU2 strain) putative transcripts and human long non-coding sequences from paired-reads (2x75bp) captured on a NimbleGen SeqCap® EZ Developer Library (Roche/NimbleGen). Methods: Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal, followed by high-throughput RNAseq from custom SeqCap EZ capture libraries. Each raw dataset of the samples contained between 5 and 30 million paired-end reads (75 bp), with an average of approximately 12 million raw reads per sample. Results: The raw reads were then cleaned and assembled per library to generate contigs, giving an average of 930 contigs per sample for further analyses. Conclusions: Our results show that high-throughput analyses coupled with bioinformatics-specific tools offers a comprehensive and more accurate view of mRNA splicing within a cell.

2018-12-31 | GSE120109 | 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