Sequenced read pairsTotal number of sequenced read pairs assigned to the sample.Valid barcodesFraction of read pairs with barcodes that match the whitelist after error correction.Valid UMIsFraction of read pairs with valid UMIs i.e. without Ns and are not homopolymers.Q30 bases in barcodeFraction of barcode bases with Q-score >= 30, excluding very low quality/no-call (Q <= 2) bases from the denominator.Q30 bases in UMIFraction of UMI bases with Q-score >= 30, excluding very low quality/no-call (Q <= 2) bases from the denominator.Q30 bases in read 2Fraction of RNA read bases with Q-score >= 30, excluding very low quality/no-call (Q <= 2) bases from the denominator.Q30 bases in sample index i1Fraction of sample index bases (i1) with Q-score >= 30, excluding very low quality/no-call (Q <= 2) bases from the denominator.Q30 bases in sample index i2Fraction of sample index bases (i2) with Q-score >= 30, excluding very low quality/no-call (Q <= 2) bases from the denominator.Reads with TSOFraction of reads with an alignment score of >= 20 for the template switch oligo (TSO) sequence.Percent duplicatesThe fraction of reads originating from an already-observed UMI. This is a function of library complexity and sequencing depth. More specifically, this is the fraction of confidently mapped, valid barcode, valid UMI reads that have a non-unique (cell-barcode, UMI, gene).Plots(right) This plot shows the Percent Duplicates metric as a function of downsampled sequencing depth (measured in mean read pairs per cell), up to the observed sequencing depth. The Percent Duplicates metric is a measure of the sequencing saturation, and approaches 1.0 (100%) when all converted mRNA transcripts have been sequenced. The slope of the curve near the endpoint can be interpreted as an upper bound to the benefit to be gained from increasing the sequencing depth beyond this point.