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. 2018 Jan 11;40(1):11–29. doi: 10.1007/s11357-018-0005-3

Fig. 4.

Fig. 4

Sample throughput and cost as a function of genomic coverage. Experimental design for DNA modification analysis requires consideration of a range of scientific and practical factors. a Genomic coverage as a function of sample throughput. With greater coverage of the genome, as a general principle, sample throughput decreases. b Cost per sample increases as a function of genomic coverage. Costs vary on the number of samples performed and the specific circumstances of a study, but generally, the more genome analyzed the greater the cost as more sequencing is performed. Note: costs are estimated at a 15× sequencing depth and the microarray technology is denoted with dashed lines as the calculations of genomic coverage are inherently different as this is not a sequencing approach