jkttcell: Jurkat T-cell transcritomic data

In NBBttest: Negative Binomial Beta t-Test

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) sites: tagid, geneid, gene name, chromosome, strand, poly(A) site position, poly(A) site annotation and 6 columns for count data: Jurk.NS.A, Jurk.NS.B, Jurk.NS.C, Jurk.48h.A, Jurk.48h.B, Jurk.48h.C where NS means normal state or no sitmulation 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)

NBBttest documentation built on May 30, 2022, 1:05 a.m.