Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Fungus ITS total-six-samples meta

PROVIDER: PRJNA861011 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR20752873.fastq.gz	Fastqsanger.gz

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Fungus ITS1F_ITS2R-6samples meta

| PRJNA592890 | ENA

A microarray meta-dataset of renal cancer

Project description:We present a meta-dataset comprising of a total of 347 samples including both primary tumors and tumor-free renal tissues from six independent GEO datasets. To minimise inter-platform variation, only datasets generated from the GPL570 platform (Affymetrix Human Genome U133 Plus 2.0 Array) were processed to develop the meta-dataset. Using multiple open source R packages implemented in our previously developed bioinformatics pipeline, each dataset has been preprocessed with RMA normalisation, merged, and batch effect-corrected via Combat method. With increased sample size, the present meta-dataset serves an excellent 'discovery cohort' for discovering differentially expressed in diseased phenotype.

2019-04-11 | E-MTAB-6692 | biostudies-arrayexpress

A microarray meta-dataset of prostate cancer

Project description:We present a meta-dataset comprising of a total of 237 samples including both primary tumors and tumor-free prostate tissues from six independent GEO datasets. To minimise inter-platform variation, only datasets generated from the GPL570 platform (Affymetrix Human Genome U133 Plus 2.0 Array) were processed to develop the meta-dataset. Using multiple open source R packages implemented in our previously developed bioinformatics pipeline, each dataset has been preprocessed with RMA normalisation, merged, and batch effect-corrected via Combat method. With increased sample size, the present meta-dataset serves an excellent 'discovery cohort' for discovering differentially expressed in diseased phenotype.

2019-04-11 | E-MTAB-6694 | biostudies-arrayexpress

Project description:Meta-transcriptome of soil samples

| PRJNA994660 | ENA

Exon Level Expression Profiling in Kawasaki disease (KD): gene expression profile in healthy control subjects, acute-phase KD subjects and convalescent-phase KD subjects

Project description:Transcriptome analysis of pooled RNA samples from total WBC collection The RNA samples from six subjects were evenly pooled into one pooled one, followed by sample preparation and microarray experiment.

2018-10-21 | GSE109351 | GEO

Digital gene expression (DGE) of CMV-infected tobacco leaves

Project description:Here we performed a transcriptomic study on complete symptom development process of CMV-infected Nicotiana tabacum using Solexa/Illumina's high-throughput digital gene expression (DGE) system. 12 DGE libraries (from six virus-infected samples and six corresponding mock-inoculated samples) were constructed, and the gene expression variations between the virus-infected sample and the mock-inoculated sample in each symptom stage were compared. Thousands of differentially expressed genes were obtained by the comparison, and KEGG pathway analysis of these genes suggested that many biological processes (such as phtosynthesis, pigment metabolism and plant-pathogen interaction) were related to the symptom development. The authenticity of the DGE data was further confirmed by analyzing real-time RT-PCR using several random-selected genes. We sequenced a cDNA library constructed from mixture of total RNA from six virus-infected samples and six mock-inoculated samples to get gene information for tobacco leaves in different symptom stages, including vein clearing, mosaic, severe chlorosis, partial recovery, total recovery and re-mosaic, and 95,916 Unigenes were obtained

2012-11-09 | GSE30162 | GEO

Next-Generation Sequencing was used to conduct a quantitative analysis of Wild Type (Ctrl) and Stat3 KO (Test) long bone transcriptomes.

Project description:RNA samples were isolated shaft of the humerus bone of E16.5 embryos. A total of six, three ctrl & three test samples were used. RNASeq analyses were conducted to identify the differentially expressed genes upon Stat3 loss of function during long bone development. Total RNA was isolated from the long bone of E16.5 embryos of the indicated genotypes.

2021-07-14 | GSE159184 | GEO

Project description:LncRNA sequencing of six human samples

| PRJNA645724 | ENA

Poplar-Laccaria: A Timecourse of Mycorrhizal Root Tip Development

Project description:This study characterizes the transcriptomic alterations of P. trichocarpa during interaction with the ectomycorrhizal fungus Laccaria bicolor S238N. Four time-points were analyzed, two weeks, four weeks , six weeks and twelve weeks after inoculation.

2014-10-09 | GSE62172 | GEO

Global gene expression in Moraxella catarrhalis ATCC43617 cells grown in the planktonic and in biofilm states

Project description:Total RNA samples were isolated from M. catarrhalis grown in the planktonic state (i.e., in broth) and in a biofilm. Biofilms were generated by growing this strain in the continuous-flow Sorbarod filter system for three days. Total RNA samples and M. catarrhalis genome-directed primers (GDPs) were used for synthesis of Cy3- or Cy5-labeled cDNA samples. Five independent M. catarrhalis growth experiments and total RNA isolations were used for the synthesis of cDNA samples, and a total of six DNA microarray hybridizations were performed in this study. Keywords: Effect of Growth Environment on Global Gene Expression by Moraxella catarrhalis

2007-12-07 | GSE4348 | 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