Deep-sequencing influences the results obtained in small-RNA sequencing
Transcriptomics Dataset
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General Information
AccessionGSE35368
TitleDeep-sequencing influences the results obtained in small-RNA sequencing
DescriptionThis study presents a comparison of small RNA sequencing libraries generated from the same cell lines but using different sequencing platforms and protocols. The samples were analyzed and compared at the level of miRNAs expression and as a population of small RNAs derived from repetitive elements. Despite a good correlation between sequencing platforms, there are qualitative and quantitative variations in the results depending on the protocol used.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE35368
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 GSE35368
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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