Fig. 7: Accuracy of gene quantification pipelines.
From: A real-world multi-center RNA-seq benchmarking study using the Quartet and MAQC reference materials
a Clustering of 28 quantification pipelines based on accuracy metrics (RMSE) derived from comparisons to four types of ground truth. b The color legend for c-g. The accuracy of all 28 quantification pipelines was assessed based on the (c) Quartet reference datasets, (d) Quartet TaqMan datasets, (e) MAQC TaqMan datasets, (f) built-in truth of mixing ratios in T1 and T2, and (g) built-in truth of ERCC spike-in ratios. The accuracy of quantification tools is compared under the same conditions of gene annotation and alignment tools. Box plots represent the RMSE values for 13 benchmark datasets, and data are presented as median values (center lines) and the upper and lower quartiles (box limits). Diamonds indicate outliers.
