anota2seq_data: Sample data set for anota2seq

In anota2seq: Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq

Description

Simulated data used to illustrate the anota2seq workflow.

Usage

data(anota2seq_data)

Format

Eight samples were simulated from 2 sample classes ("control" and "treatment"); both total mRNA (anota2seq_data_T) and paired translated mRNA (anota2seq_data_P) are provided together with a sample class vector (anota2seq_pheno_vec).

anota2seq_data_T and anota2seq_data_P are 2 matrices with 10748 rows and 8 columns simulated to represent raw RNAseq counts from 8 samples (4 replicates of each condition) and 10748 mRNAs. Columns are ordered according to the RNA type pairing i.e. column 1 of anota2seq_data_T is from the same sample as column 1 of anota2seq_data_P etc.

Source

These data originate from the study by Oertlin et al. which compared methods for analysis of translatomes quantified by RNAseq.

References

Oertlin C. et al. Genome-wide analysis of differential translation and differential translational buffering using anota2seq, bioRxiv, 2017.

Examples

##load data set 
data(anota2seq_data)
##check dimensions
dim(anota2seq_data_P)
head(anota2seq_data_P)
dim(anota2seq_data_T)
head(anota2seq_data_T)
anota2seq_pheno_vec
  

anota2seq documentation built on Nov. 8, 2020, 6 p.m.