Description Usage Format Details Value Source References Examples
The data are transcriptomic count data of RNA reads generated by next generation sequencing from Jurkat T-cells.
1 | data("jkttcell")
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A data frame with 13409 observations on the following 13 variables.
tagida numeric vector
geneida numeric vector
namea string vector
chra string vector
stranda charactor vector
posa numeric vector
annoa string vector
Jurk.NS.Aa numeric vector
Jurk.NS.Ba numeric vector
Jurk.NS.Ca numeric vector
Jurk.48h.Aa numeric vector
Jurk.48h.Ba numeric vector
Jurk.48h.Ca numeric vector
The data are count data generated by next generation sequencing from Jurkat T-cells. The T-cells were treated by resting and stimulating with CD3/CD28 for 48 hours. The data have 7 columns for the information of poly(A) site: tagid, geneid, gene name, chromosome, strand,poly(A) site position, poly(A) site annotation and 6 columns for data: Jurk.NS.A, Jurk.NS.B, Jurk.NS.C, Jurk.48h.A, Jurk.48h.B, Jurk.48h.C. where NS means Normal state and 48h means 48 hours after CD3/CD28 stimulatuin of T-cells. 13409 RNA isoforms were detected to have alternative poly(A) sites.
ID, information, count data of RNA reads
Real transcriptomic count data
Yuan-De Tan Anita M. Chandler, Arindam Chaudhury, and Joel R. Neilson(2015) A Powerful Statistical Approach for Large-scale Differential Transcription Analysis.Plos One. DOI: 10.1371/journal.pone.0123658.
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