Fig. 1
From: Characterizing RNA stability genome-wide through combined analysis of PRO-seq and RNA-seq data
Scatter plots of PRO-seq vs. RNA-seq read counts for transcription units (TUs) in K562 cells, both shown in units of log2 transcripts per million (TPM) (see the “Methods” section). Panels describe a all annotated TUs (n = 13,810), b protein-coding mRNAs (n = 11,011), c intergenic lincRNAs (n = 1143), d intragenic antisense noncoding genes (n = 1066), and e pseudogenes (n = 590), all from GENCODE [29]. For each plot, the Spearman’s rank correlation coefficient (ρ) is shown. TUs with values of zero along either axis have been omitted. Notice that as one proceeds from b to e, from mRNAs to noncoding RNAs and pseudogenes, there is a general decrease in ρ, indicating greater variability of steady-state RNA concentrations at each transcription level