Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: imcas submit test

PROVIDER: PRJNA549545 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR9591040_1.fastq.gz	Fastqsanger.gz
	SRR9591040_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

TestBioreactor

Project description:This is a test to submit data to ENA

| PRJEB71870 | ENA

Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays (GPL14921)

Project description:We investigated whether mouse serum autoantibody binding patterns on random-sequence peptide microarrays (immunosignaturing) can be used for diagnosing and predicting the onset of lupus and its central nervous system (CNS) manifestations. Submitter states "We have no processed data to submit. We have no gpr files to submit."

2014-05-08 | GSE57388 | GEO

Detection of hypoxia inducible/reducible miRNAs in Hepatocellular Carcinoma cells

Project description:To explore the miRNAs mediating the hypoxia in HCC, we design several groups HCC cells exposed to hypoxic conditions for several times and and submit to miRNA microarrays

2015-05-06 | GSE68593 | GEO

Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays (GPL17600)

Project description:In addition to determining possible diagnostic and predictive peptides of lupus and CNS-lupus, we also used our microarray technology along with the Guitope computer program to determine possible natural protein match to five monoclonal autoantibodies that were created using one of the autoimmune MRL/lpr mouse. Submitter states "We have no processed data to submit. We have no gpr files to submit."

2014-05-08 | GSE57389 | GEO

Karlsson_et_al_OSA

Project description:This experiment was conducted to generate targeted resequencing data covering a region associated with osteosarcoma in greyhounds. 8 greyhounds diagnosed with osteosarcoma and 7 greyhounds without tumors were sequenced. DNA from the 15 dogs was used to prepare libraries and hybrid capture performed to enrich the region of interest prior to paired-end sequencing using Illumina Genome Analyzer II. The reads were aligned to the dog-genome CanFam2.0 using bwa and pre-processed using Picard and GATK. Variant discovery was performed using GATK. The resulting list of variants were used in the study to finemap the associated region and look for causal variants. We submit the preprocessed BAM-files that still have all reads although some reads are flagged. We also submit the resulting vcf-file with called and filtered variants in all individuals.

2013-11-16 | E-MTAB-1984 | biostudies-arrayexpress

Iodide effect on mRNA expression levels of genes related to immunological function in cultured human thyroid follicles

Project description:We are going to submit a paper entitled “Iodide-induced Chemokines and Genes Related to Immunological Function in Cultured Human Thyroid Follicles” to THYROID

2009-07-14 | GSE16957 | GEO

Project description:Immunity Analysis Submit Data Pilot Study

| PRJNA824675 | ENA

Alcohol metabolism directly fuels histone acetylation in the brain

Project description:This SuperSeries is composed of the SubSeries listed below. Reviewers: for a UCSC Genome Browser session of the chIP-seq and the ex vivo RNA-seq, please see: https://genome.ucsc.edu/cgi-bin/hgTracks?hgS_doOtherUser=submit&hgS_otherUserName=Gdonahue&hgS_otherUserSessionName=Alcohol%20Metabolism%20Publication

2019-08-01 | GSE122188 | GEO

SBV - Gene Expression Profiles of Lung Cancer Tumors - Adenocarcinomas and Squamous Cell Carcinomas

Project description:This dataset encompassing the profiles of 150 lung cancer tumors was developed to serve as test dataset in the SBV IMPROVER Diagnostic Signature Challenge (sbvimprover.com). The aim of this subchallenge was to verify that it is possible to extract a robust diagnostic signature from gene expression data that can identify stages of different types of lung cancer. Participants were asked to develop and submit a classifier that can stratify lung cancer patients in one of four groups – Stage 1 of Adenocarcinoma (AC Stage 1), Stage 2 of Adenocarcinoma (AC Stage 2), Stage 1 of Squamous cell carcinoma (SCC Stage 1) or Stage 2 of Squamous cell carcinoma (SCC Stage 2). The classifier could be built by using any publicly available gene expression data with related histopathological information and was tested on the independent dataset described here.

2013-10-18 | GSE43580 | GEO

Project description:test test

| PRJEB53402 | ENA