anota2seq_data {anota2seq} | R Documentation |
Simulated data used to illustrate the anota2seq workflow.
data(anota2seq_data)
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.
These data originate from the study by Oertlin et al. which compared methods for analysis of translatomes quantified by RNAseq.
Oertlin C. et al. Genome-wide analysis of differential translation and differential translational buffering using anota2seq, bioRxiv, 2017.
##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