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Fig. 5 | BMC Bioinformatics

Fig. 5

From: Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance

Fig. 5

Significant gene number's impact on performance. Average recall (a) or average precision (b) versus the average number of genes identified as significant. Panels are split by read depths, with 2 × 107, 1 × 107, 5 × 106, and 2 × 106 reads plotted as high read depths, 1 × 106, 5 × 105 and 3 × 105 plotted as medium read depths, and 1 × 105, 5 × 105, and 3 × 104 plotted as low read depths. Dots represent values for individual workflows (read aligner, expression modeler, and differential expression tool) at a given sample number and read depth, averaged over the ten sample combination iterations run at each given sample number and read depth. Bars represent standard deviation. Colors represent sample number. Red line represents linear regression for plotted data. R2 value corresponds to plotted data

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