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Microarrays, deep sequencing and the true measure of the transcriptome

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Figure

Figure 1. Data production workflow for microarrays. Microarrays require labeling of target material, hybridization to arrays, washing, and scanning to obtain measures of gene expression
Figure 2. Data production workflow for RNA-Seq. RNA-Seq requires building libraries of fragmented RNA that are then converted to cDNA by reverse transcription, followed by adaptor ligation and size selection
Figure 3. Comparison of array and RNA-Seq data for measuring differential gene expression in the heads of male and female D. pseudoobscura

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