Ontology highlight
ABSTRACT:
PROVIDER: PRJNA861011 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR20752873.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 1 of 1 |
Similar Datasets
Project description:RNA-seq of poly-A enriched total RNA of brain, liver, kidney, heart and skeletal muscle samples from lizard
2019-05-15 | E-MTAB-3727 | ExpressionAtlas
Project description:RNA-seq of poly-A enriched total RNA of brain, liver, kidney, heart and skeletal muscle samples from chicken
2019-05-15 | E-MTAB-3724 | ExpressionAtlas
Project description:RNA-seq of poly-A enriched total RNA of brain, liver, kidney, heart and skeletal muscle samples from frog
2019-05-15 | E-MTAB-3726 | ExpressionAtlas
Project description:RNA-seq of poly-A enriched total RNA of brain, liver, kidney, heart and skeletal muscle samples from mouse
2019-05-15 | E-MTAB-3725 | ExpressionAtlas
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
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: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
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