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Table 1 Summary of sequencing data and Bismark alignment output

From: Changes in DNA methylation profiles of myalgic encephalomyelitis/chronic fatigue syndrome patients reflect systemic dysfunctions

Sample ID Total reads Map. effic % MethylC CpG % MethylC CpHpG % MethylC CpHpH % Conv. rate %
Control 1 9,221,090 49 39 1 0 100
Control 2 14,000,485 28 39 1 1 99
Control 3 15,237,052 45 41 1 0 100
Control 4 16,305,850 45 48 1 1 99
Control 5 14,146,640 50 41 1 1 99
Control 6 17,961,183 26 39 0 0 100
Control 7 21,023,385 12 42 0 0 100
Control 8 14,287,174 45 40 1 1 99
Control 9 14,605,142 29 40 0 0 100
Control 10 19,983,522 49 50 1 1 99
Patient 1 20,739,258 25 42 0 0 100
Patient 2 12,830,866 51 38 1 1 99
Patient 3 16,521,910 34 43 1 1 99
Patient 4 16,888,563 30 39 1 1 99
Patient 5 13,589,812 51 42 0 0 100
Patient 6 14,374,956 49 43 0 0 100
Patient 7 21,391,108 40 39 1 0 100
Patient 8 13,587,009 37 41 1 1 99
Patient 9 13,261,182 28 61 1 1 99
Patient 10 20,052,690 46 45 1 1 99
  1. Each sample, as identified by sample ID, has corresponding data showing, total reads, mapping efficiency from bismark, methylated cytosines in three different contexts (CpG, CpHpG and CpHpH). H can be either A, T or C, and the percentage is calculated individually for each context following the equation: % methylation = 100 × methylated Cs/(methylated Cs + unmethylated Cs). The bisulphite conversion rate calculated as the average of the number of Ts (non-methylated Cytosines) divided by coverage for each non-CpG cytosine