The data are transcriptomic count data of RNA reads generated by next generation sequencing from Jurkat T-cells.
Usage
data("jkttcell")
Arguments
Value
Format
A data frame with 13409 observations on the following 13 variables.
tagid
a numeric vector
geneid
a numeric vector
name
a string vector
chr
a string vector
strand
a charactor vector
pos
a numeric vector
anno
a string vector
Jurk.NS.A
a numeric vector
Jurk.NS.B
a numeric vector
Jurk.NS.C
a numeric vector
Jurk.48h.A
a numeric vector
Jurk.48h.B
a numeric vector
Jurk.48h.C
a numeric vector
Source
Real transcriptomic count data
Details
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.
References
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.