Small RNA sequencing data quality.

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Principal components were computed for normalized intensities from samples of the given tissue-chip combination. The first two principal components are.

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Small RNA sequencing data quality. Small RNA sequencing data quality. Principal-component analysis showing principal component 1 (PC1) on the x axis and PC2 on the y axis. Each dot is colored according to its normal/tumor status (A), tumor location (B), patient gender (C), patient age (D), raw read count (E), and mature miRNA mapped read count (F). (G) Bar plot of the numbers of mature miRNAs identified in each sample, with coverages over 1 read (gray) and over 5 reads (blue). Ce Yuan et al. mSystems 2018; doi:10.1128/mSystems.00205-17