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Fig. 1 | BMC Bioinformatics

Fig. 1

From: dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data

Fig. 1

Several RNA-seq datasets from Marinov et al. [26]. Legends shows the intercept and slope of a fitted logit model. a Single cell experiment with relatively low duplication rates and most of the genes detected. b Single cell experiment with most of the genes undetected and high duplication rate on the detected ones. c RNA-seq experiment pushing the protocol to only 100 pg of input material, with low duplication rates and relatively good identification of genes. d same RNA-seq experiment, showing over-sequencing due to higher sequencing depth of the library

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