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Comparison of normalization methods for differential gene expression analysis in RNA-Seq experiments: A matter of relative size of studied transcriptomes

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Academic year: 2021

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Figure 1. ma-plots of a simulated data set. this figure corresponds to a simulated data set from simulation type 1 of Table 1
Figure 2. Bar-plots of false discoveries. For each of the 4 simulation types of Table 1, bar-plots of above panels show the number of false discoveries of each normalization method for 5 indepen-dent simulation repetitions (one bar per repetition)
Table 2 summarizes, for each method, the results obtained from the 20 simulations (from the 4 simulation types with 5 independent repetitions for each one)
Figure 4. results of the DE analyses on tomato rNa-Seq data. results of the DE analyses on tomato rNa-Seq data for both studied transitions: from Bud to anthesis (on the left) and from anthesis to Post-anthesis (on the right).

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