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. 2017 Oct 6;7:12781. doi: 10.1038/s41598-017-12989-x

Figure 4.

Figure 4

The effect of read length and sequencing depth on the technical error variability using simulated scRNA-seq datasets. A: Number of identified expressed genes (Fragment per Kilobase per Million reads; FPKM >1) as a function of read length and sequencing depth (A). Error bars (box plot, mean and 5–95% interval) represent variability across individual cells. (B) Mean pairwise cell-to-cell Pearson correlation of gene expression values as a function of sequencing depth and read length. (C) The distribution of pairwise cell-to-cell Pearson correlation of gene expression values using subsets of different read length drawn from the original dataset. Original dataset had a read length of 145 bp with depth >8 millions PE reads, two samples drawn from this dataset were taken, with length 25 bp and same depth.