Hi-seq 2000 sequencing facilitates quantitative analysis of transcriptomes in LNCaP cells with or without SiGATA2 treatment.
Transcriptomics Dataset
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General Information
AccessionGSE38393
TitleHi-seq 2000 sequencing facilitates quantitative analysis of transcriptomes in LNCaP cells with or without SiGATA2 treatment.
DescriptionWe obtained 1,367 GATA2 up-regulated and 759 GATA2 down-regulated genes (p< 0.001).
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE38393
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE38393
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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