Figure 4
From: Benchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data
Quantification of non-concordant genes reveals that the numbers are low and similar between workflows. (A) A schematic overview of different classes of genes, used for further analysis, by means of a dummy example. The concordant genes between RT-qPCR and RNA-seq are either differentially expressed or non-differential for both datasets. The non-concordant genes are split into three groups, those with a ∆FC < 2, ∆FC > 2 and the ones with a FC in the opposite direction. (B) The percentages of genes in each of the above-described classes is shown for each workflow. For the non-concordant genes, distribution across expression quartiles (Q1 = lowest 25%) is shown. Results are based on RNA-seq data from dataset 1.
