jkttcell: Jurkat T-cell Transcritomic Data

In Yuande/MBttest: Multiple Beta t-Tests

Jurkat T-cell Transcritomic Data

Description

The data are transcriptomic count data of RNA reads generated by next generation sequencing from Jurkat T-cells.

Usage

data("jkttcell")

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

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.

Value

ID, information, count data of RNA reads

Source

Real transcriptomic count data

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.

Examples

data(jkttcell)
## maybe str(jkttcell) ; plot(jkttcell) ...

Yuande/MBttest documentation built on Aug. 25, 2022, 12:58 a.m.