jkttcell {MBttest} | R Documentation

## 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) ...

[Package MBttest version 1.16.0 Index]