Mouse methylome studies ERP004116 Track Settings
 
Whole genome bisulfite sequencing of samples reprogramming to iPSC [1iPSC, 2MEF, 2iPSC, D11H, D16H, D16L, D18H, D21L, D21L0, D2H, D5H, D8H, ESC]

Track collection: Mouse methylome studies

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ERX329780 
ERX329784 
ERX329786 
ERX329788 
ERX329792 
ERX329796 
ERX329797 
ERX329798 
ERX329799 
ERX329800 
ERX329801 
ERX329802 
ERX329803 
ERX329804 
ERX329805 
ERX329806 
ERX329807 
ERX329808 
ERX329809 
ERX329810 
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ERX329812 
ERX329813 
ERX329814 
ERX329815 
ERX329816 
ERX329817 
ERX329818 
ERX329819 
ERX329820 
ERX329821 
ERX329822 
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ERX329826 
ERX329827 
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ERX329830 
ERX329831 
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ERX329834 
ERX486144 
ERX486145 
ERX486146 
ERX486147 
ERX486148 
ERX486149 
ERX486150 
ERX486151 
ERX486152 
ERX486153 
ERX486154 
ERX486155 
ERX486156 
ERX486159 
ERX486160 
ERX486162 
ERX486163 
ERX486164 
ERX486165 
ERX486166 
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 ERX329780  HMR  2iPSC / ERX329780 (HMR)   Data format 
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 ERX329780  CpG methylation  2iPSC / ERX329780 (CpG methylation)   Data format 
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 ERX329784  HMR  2MEF / ERX329784 (HMR)   Data format 
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 ERX329784  CpG methylation  2MEF / ERX329784 (CpG methylation)   Data format 
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 ERX329786  HMR  2MEF / ERX329786 (HMR)   Data format 
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 ERX329786  CpG methylation  2MEF / ERX329786 (CpG methylation)   Data format 
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 ERX329788  HMR  D8H / ERX329788 (HMR)   Data format 
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 ERX329788  CpG methylation  D8H / ERX329788 (CpG methylation)   Data format 
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 ERX329792  HMR  ESC / ERX329792 (HMR)   Data format 
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 ERX329792  CpG methylation  ESC / ERX329792 (CpG methylation)   Data format 
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 ERX329796  HMR  1iPSC / ERX329796 (HMR)   Data format 
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 ERX329796  CpG methylation  1iPSC / ERX329796 (CpG methylation)   Data format 
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 ERX329797  HMR  1iPSC / ERX329797 (HMR)   Data format 
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 ERX329797  CpG methylation  1iPSC / ERX329797 (CpG methylation)   Data format 
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 ERX329798  HMR  1iPSC / ERX329798 (HMR)   Data format 
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 ERX329798  CpG methylation  1iPSC / ERX329798 (CpG methylation)   Data format 
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 ERX329799  HMR  1iPSC / ERX329799 (HMR)   Data format 
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 ERX329799  CpG methylation  1iPSC / ERX329799 (CpG methylation)   Data format 
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 ERX329800  HMR  1iPSC / ERX329800 (HMR)   Data format 
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 ERX329800  CpG methylation  1iPSC / ERX329800 (CpG methylation)   Data format 
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 ERX329801  HMR  1iPSC / ERX329801 (HMR)   Data format 
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 ERX329801  CpG methylation  1iPSC / ERX329801 (CpG methylation)   Data format 
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 ERX329802  HMR  1iPSC / ERX329802 (HMR)   Data format 
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 ERX329802  CpG methylation  1iPSC / ERX329802 (CpG methylation)   Data format 
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 ERX329803  HMR  D11H / ERX329803 (HMR)   Data format 
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 ERX329803  CpG methylation  D11H / ERX329803 (CpG methylation)   Data format 
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 ERX329804  HMR  D11H / ERX329804 (HMR)   Data format 
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 ERX329804  CpG methylation  D11H / ERX329804 (CpG methylation)   Data format 
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 ERX329805  HMR  D11H / ERX329805 (HMR)   Data format 
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 ERX329805  CpG methylation  D11H / ERX329805 (CpG methylation)   Data format 
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 ERX329806  HMR  D16L / ERX329806 (HMR)   Data format 
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 ERX329806  CpG methylation  D16L / ERX329806 (CpG methylation)   Data format 
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 ERX329807  HMR  D16L / ERX329807 (HMR)   Data format 
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 ERX329807  CpG methylation  D16L / ERX329807 (CpG methylation)   Data format 
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 ERX329808  HMR  D16L / ERX329808 (HMR)   Data format 
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 ERX329808  CpG methylation  D16L / ERX329808 (CpG methylation)   Data format 
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 ERX329809  HMR  D16L / ERX329809 (HMR)   Data format 
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 ERX329809  CpG methylation  D16L / ERX329809 (CpG methylation)   Data format 
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 ERX329810  HMR  D16L / ERX329810 (HMR)   Data format 
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 ERX329810  CpG methylation  D16L / ERX329810 (CpG methylation)   Data format 
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 ERX329811  CpG methylation  D16L / ERX329811 (CpG methylation)   Data format 
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 ERX329812  HMR  D16H / ERX329812 (HMR)   Data format 
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 ERX329812  CpG methylation  D16H / ERX329812 (CpG methylation)   Data format 
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 ERX329813  HMR  D16H / ERX329813 (HMR)   Data format 
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 ERX329813  CpG methylation  D16H / ERX329813 (CpG methylation)   Data format 
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 ERX329814  HMR  D16H / ERX329814 (HMR)   Data format 
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 ERX329814  CpG methylation  D16H / ERX329814 (CpG methylation)   Data format 
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 ERX329815  HMR  D18H / ERX329815 (HMR)   Data format 
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 ERX329815  CpG methylation  D18H / ERX329815 (CpG methylation)   Data format 
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 ERX329816  HMR  D18H / ERX329816 (HMR)   Data format 
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 ERX329816  CpG methylation  D18H / ERX329816 (CpG methylation)   Data format 
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 ERX329817  HMR  D18H / ERX329817 (HMR)   Data format 
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 ERX329817  CpG methylation  D18H / ERX329817 (CpG methylation)   Data format 
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 ERX329818  HMR  D21L0 / ERX329818 (HMR)   Data format 
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 ERX329818  CpG methylation  D21L0 / ERX329818 (CpG methylation)   Data format 
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 ERX329819  HMR  D21L0 / ERX329819 (HMR)   Data format 
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 ERX329819  CpG methylation  D21L0 / ERX329819 (CpG methylation)   Data format 
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 ERX329820  HMR  D21L0 / ERX329820 (HMR)   Data format 
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 ERX329820  CpG methylation  D21L0 / ERX329820 (CpG methylation)   Data format 
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 ERX329821  HMR  D21L0 / ERX329821 (HMR)   Data format 
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 ERX329821  CpG methylation  D21L0 / ERX329821 (CpG methylation)   Data format 
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 ERX329822  HMR  D21L0 / ERX329822 (HMR)   Data format 
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 ERX329822  CpG methylation  D21L0 / ERX329822 (CpG methylation)   Data format 
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 ERX329823  HMR  D21L0 / ERX329823 (HMR)   Data format 
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 ERX329823  CpG methylation  D21L0 / ERX329823 (CpG methylation)   Data format 
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 ERX329824  HMR  D21L / ERX329824 (HMR)   Data format 
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 ERX329824  CpG methylation  D21L / ERX329824 (CpG methylation)   Data format 
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 ERX329825  HMR  D21L / ERX329825 (HMR)   Data format 
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 ERX329825  CpG methylation  D21L / ERX329825 (CpG methylation)   Data format 
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 ERX329826  HMR  D21L / ERX329826 (HMR)   Data format 
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 ERX329826  CpG methylation  D21L / ERX329826 (CpG methylation)   Data format 
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 ERX329827  HMR  D21L / ERX329827 (HMR)   Data format 
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 ERX329827  CpG methylation  D21L / ERX329827 (CpG methylation)   Data format 
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 ERX329828  HMR  D21L / ERX329828 (HMR)   Data format 
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 ERX329828  CpG methylation  D21L / ERX329828 (CpG methylation)   Data format 
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 ERX329829  HMR  D2H / ERX329829 (HMR)   Data format 
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 ERX329829  CpG methylation  D2H / ERX329829 (CpG methylation)   Data format 
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 ERX329830  HMR  D2H / ERX329830 (HMR)   Data format 
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 ERX329830  CpG methylation  D2H / ERX329830 (CpG methylation)   Data format 
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 ERX329831  HMR  D2H / ERX329831 (HMR)   Data format 
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 ERX329831  CpG methylation  D2H / ERX329831 (CpG methylation)   Data format 
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 ERX329832  HMR  D5H / ERX329832 (HMR)   Data format 
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 ERX329832  CpG methylation  D5H / ERX329832 (CpG methylation)   Data format 
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 ERX329833  HMR  D5H / ERX329833 (HMR)   Data format 
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 ERX329833  CpG methylation  D5H / ERX329833 (CpG methylation)   Data format 
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 ERX329834  HMR  D5H / ERX329834 (HMR)   Data format 
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 ERX329834  CpG methylation  D5H / ERX329834 (CpG methylation)   Data format 
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 ERX486144  HMR  2iPSC / ERX486144 (HMR)   Data format 
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 ERX486144  CpG methylation  2iPSC / ERX486144 (CpG methylation)   Data format 
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 ERX486145  HMR  2iPSC / ERX486145 (HMR)   Data format 
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 ERX486145  CpG methylation  2iPSC / ERX486145 (CpG methylation)   Data format 
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 ERX486146  HMR  2iPSC / ERX486146 (HMR)   Data format 
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 ERX486146  CpG methylation  2iPSC / ERX486146 (CpG methylation)   Data format 
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 ERX486147  HMR  2iPSC / ERX486147 (HMR)   Data format 
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 ERX486147  CpG methylation  2iPSC / ERX486147 (CpG methylation)   Data format 
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 ERX486148  HMR  2iPSC / ERX486148 (HMR)   Data format 
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 ERX486148  CpG methylation  2iPSC / ERX486148 (CpG methylation)   Data format 
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 ERX486149  HMR  2MEF / ERX486149 (HMR)   Data format 
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 ERX486149  CpG methylation  2MEF / ERX486149 (CpG methylation)   Data format 
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 ERX486150  HMR  2MEF / ERX486150 (HMR)   Data format 
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 ERX486150  CpG methylation  2MEF / ERX486150 (CpG methylation)   Data format 
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 ERX486151  HMR  2MEF / ERX486151 (HMR)   Data format 
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 ERX486151  CpG methylation  2MEF / ERX486151 (CpG methylation)   Data format 
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 ERX486152  HMR  2MEF / ERX486152 (HMR)   Data format 
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 ERX486152  CpG methylation  2MEF / ERX486152 (CpG methylation)   Data format 
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 ERX486153  HMR  2MEF / ERX486153 (HMR)   Data format 
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 ERX486153  CpG methylation  2MEF / ERX486153 (CpG methylation)   Data format 
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 ERX486154  HMR  D8H / ERX486154 (HMR)   Data format 
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 ERX486154  CpG methylation  D8H / ERX486154 (CpG methylation)   Data format 
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 ERX486155  HMR  D8H / ERX486155 (HMR)   Data format 
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 ERX486155  CpG methylation  D8H / ERX486155 (CpG methylation)   Data format 
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 ERX486156  HMR  D8H / ERX486156 (HMR)   Data format 
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 ERX486156  CpG methylation  D8H / ERX486156 (CpG methylation)   Data format 
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 ERX486159  HMR  D8H / ERX486159 (HMR)   Data format 
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 ERX486159  CpG methylation  D8H / ERX486159 (CpG methylation)   Data format 
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 ERX486160  HMR  D8H / ERX486160 (HMR)   Data format 
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 ERX486160  CpG methylation  D8H / ERX486160 (CpG methylation)   Data format 
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 ERX486162  HMR  ESC / ERX486162 (HMR)   Data format 
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 ERX486162  CpG methylation  ESC / ERX486162 (CpG methylation)   Data format 
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 ERX486163  HMR  ESC / ERX486163 (HMR)   Data format 
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 ERX486163  CpG methylation  ESC / ERX486163 (CpG methylation)   Data format 
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 ERX486164  HMR  ESC / ERX486164 (HMR)   Data format 
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 ERX486164  CpG methylation  ESC / ERX486164 (CpG methylation)   Data format 
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 ERX486165  HMR  ESC / ERX486165 (HMR)   Data format 
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 ERX486165  CpG methylation  ESC / ERX486165 (CpG methylation)   Data format 
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 ERX486166  HMR  ESC / ERX486166 (HMR)   Data format 
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 ERX486166  CpG methylation  ESC / ERX486166 (CpG methylation)   Data format 
    
Assembly: Mouse Jun. 2020 (GRCm39/mm39)

Study title: Whole genome bisulfite sequencing of samples reprogramming to iPSC
SRA: ERP004116
GEO: not found
Pubmed: not found

Experiment Label Methylation Coverage HMRs HMR size AMRs AMR size PMDs PMD size Conversion Title
ERX329780 2iPSC 0.773 3.4 20355 1641.8 48 1422.6 637 65725.4 0.908 ERX329780
ERX329784 2MEF 0.738 3.8 20984 1917.4 42 1371.4 699 53378.7 0.925 ERX329784
ERX329786 2MEF 0.744 4.2 22766 1825.2 194 1329.2 706 54757.7 0.912 ERX329786
ERX329788 D8H 0.726 3.6 22696 1917.7 45 1300.9 706 105501.6 0.926 ERX329788
ERX329792 ESC 0.744 3.6 24641 2087.3 35 1378.0 1062 101211.1 0.917 ERX329792
ERX329796 1iPSC 0.723 5.4 25663 1321.9 2 1492.0 977 25210.1 0.989 ERX329796
ERX329797 1iPSC 0.727 10.3 28453 1142.0 140 841.6 1788 15968.4 0.995 ERX329797
ERX329798 1iPSC 0.728 5.5 25686 1261.0 24 873.8 776 27239.4 0.995 ERX329798
ERX329799 1iPSC 0.721 4.3 24189 1374.2 2 799.5 500 35647.2 0.994 ERX329799
ERX329800 1iPSC 0.725 11.4 29223 1121.2 246 855.6 1850 15874.3 0.995 ERX329800
ERX329801 1iPSC 0.715 9.8 27918 1144.4 158 966.6 1769 15363.8 0.995 ERX329801
ERX329802 1iPSC 0.711 9.8 27998 1136.3 123 845.5 1732 15397.8 0.995 ERX329802
ERX329803 D11H 0.644 9.6 31387 1277.8 125 914.2 1811 22577.4 0.999 ERX329803
ERX329804 D11H 0.635 8.9 30234 1311.4 100 923.8 1467 23327.9 0.999 ERX329804
ERX329805 D11H 0.633 9.0 30824 1298.1 80 923.5 1287 23757.4 0.998 ERX329805
ERX329806 D16L 0.637 8.0 29015 1901.9 96 940.5 2041 192842.7 0.999 ERX329806
ERX329807 D16L 0.629 8.9 30337 1886.7 72 944.8 2734 119059.1 0.998 ERX329807
ERX329808 D16L 0.620 9.0 30385 1915.0 53 930.3 2883 119949.5 0.998 ERX329808
ERX329809 D16L 0.644 4.8 24790 2254.3 25 838.4 1434 251299.5 0.998 ERX329809
ERX329810 D16L 0.636 3.0 22041 2983.5 2 1329.0 856 360900.3 0.998 ERX329810
ERX329811 D16L 0.637 3.0 22485 3022.9 1 620.0 1035 325723.2 0.998 ERX329811
ERX329812 D16H 0.641 10.4 31237 1436.7 110 990.3 2552 57395.0 0.999 ERX329812
ERX329813 D16H 0.630 9.4 30618 1477.1 93 1002.3 2499 53199.2 0.999 ERX329813
ERX329814 D16H 0.632 9.5 30812 1441.3 80 976.1 2534 52969.8 0.999 ERX329814
ERX329815 D18H 0.638 9.0 30560 1512.5 75 974.8 2453 54355.1 0.998 ERX329815
ERX329816 D18H 0.628 9.9 32019 1511.6 89 988.9 2503 57639.1 0.998 ERX329816
ERX329817 D18H 0.627 10.1 31782 1482.4 72 1007.5 2616 56700.5 0.998 ERX329817
ERX329818 D21L0 0.675 8.6 24698 1285.2 264 960.7 2312 49412.9 0.997 ERX329818
ERX329819 D21L0 0.667 9.6 25535 1280.2 227 992.5 2686 59028.0 0.996 ERX329819
ERX329820 D21L0 0.661 9.5 24781 1295.7 224 1025.5 2675 56038.4 0.996 ERX329820
ERX329821 D21L0 0.679 4.8 21801 1487.7 27 1031.8 1094 79545.0 0.996 ERX329821
ERX329822 D21L0 0.671 3.1 20899 1918.3 3 1049.0 529 110120.1 0.996 ERX329822
ERX329823 D21L0 0.672 3.1 20747 1945.3 2 643.5 851 112811.7 0.996 ERX329823
ERX329824 D21L 0.726 5.7 23834 1310.3 8 814.1 712 33488.3 0.992 ERX329824
ERX329825 D21L 0.722 5.7 24086 1309.9 3 666.7 804 32939.4 0.991 ERX329825
ERX329826 D21L 0.739 9.4 26561 1196.7 69 853.9 1713 20779.5 0.996 ERX329826
ERX329827 D21L 0.736 10.9 27957 1167.2 91 901.6 1715 21958.5 0.996 ERX329827
ERX329828 D21L 0.728 8.6 26282 1206.4 38 1010.0 1681 19850.0 0.996 ERX329828
ERX329829 D2H 0.664 9.9 32648 1218.9 107 1017.9 1120 16950.2 0.999 ERX329829
ERX329830 D2H 0.654 9.6 32630 1223.7 80 1026.7 1049 17021.3 0.999 ERX329830
ERX329831 D2H 0.650 9.4 32685 1223.2 71 971.9 1051 17093.1 0.999 ERX329831
ERX329832 D5H 0.666 8.8 30603 1253.4 113 924.4 1022 19187.8 0.999 ERX329832
ERX329833 D5H 0.661 8.7 30408 1256.8 101 981.9 1120 18210.1 0.999 ERX329833
ERX329834 D5H 0.654 9.2 30941 1240.5 87 921.7 1058 18314.4 0.999 ERX329834
ERX486144 2iPSC 0.715 6.9 27410 1228.6 80 892.6 1196 20748.0 0.994 Illumina HiSeq 2000 paired end sequencing
ERX486145 2iPSC 0.712 2.0 22377 1758.0 0 0.0 248 77571.1 0.994 Illumina HiSeq 2000 paired end sequencing
ERX486146 2iPSC 0.713 1.9 22531 1751.6 0 0.0 199 83555.2 0.994 Illumina HiSeq 2000 paired end sequencing
ERX486147 2iPSC 0.712 7.6 27955 1214.3 98 859.5 1233 20397.0 0.994 Illumina HiSeq 2000 paired end sequencing
ERX486148 2iPSC 0.711 2.1 22197 1730.1 4 743.5 147 93046.1 0.994 Illumina HiSeq 2000 paired end sequencing
ERX486149 2MEF 0.684 2.1 22584 1993.5 10 908.7 175 63373.1 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486150 2MEF 0.684 2.0 22807 2018.3 3 1295.0 151 73191.4 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486151 2MEF 0.685 7.5 31429 1271.9 90 1035.4 833 20576.6 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486152 2MEF 0.682 7.7 31881 1252.2 91 984.3 584 24482.2 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486153 2MEF 0.683 2.2 23566 1939.4 4 1255.2 210 59600.8 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486154 D8H 0.683 5.9 27191 1425.0 73 933.8 680 31216.4 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486155 D8H 0.682 5.9 27182 1432.9 60 1038.1 672 30934.1 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486156 D8H 0.674 6.5 28439 1372.5 61 1022.9 760 25287.9 0.999 Illumina HiSeq 2000 paired end sequencing
ERX486159 D8H 0.682 4.4 26327 1576.7 41 1004.8 566 35829.0 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486160 D8H 0.678 4.7 26759 1530.5 53 931.0 533 37292.4 0.998 Illumina HiSeq 2000 paired end sequencing
ERX486162 ESC 0.683 6.1 31760 1485.8 39 1190.5 1188 33339.9 0.994 Illumina HiSeq 2000 paired end sequencing
ERX486163 ESC 0.681 2.5 26870 2041.9 1 622.0 477 76636.9 0.995 Illumina HiSeq 2000 paired end sequencing
ERX486164 ESC 0.681 2.4 26705 2066.1 2 641.5 495 76322.6 0.995 Illumina HiSeq 2000 paired end sequencing
ERX486165 ESC 0.682 7.9 34231 1386.1 60 1045.2 1691 26179.2 0.994 Illumina HiSeq 2000 paired end sequencing
ERX486166 ESC 0.679 2.5 26295 2057.4 5 1046.2 504 77097.3 0.994 Illumina HiSeq 2000 paired end sequencing

Methods

All analysis was done using a bisulfite sequnecing data analysis pipeline DNMTools developed in the Smith lab at USC.

Mapping reads from bisulfite sequencing: Bisulfite treated reads are mapped to the genomes with the abismal program. Input reads are filtered by their quality, and adapter sequences in the 3' end of reads are trimmed. This is done with cutadapt. Uniquely mapped reads with mismatches/indels below given threshold are retained. For pair-end reads, if the two mates overlap, the overlapping part of the mate with lower quality is discarded. After mapping, we use the format command in dnmtools to merge mates for paired-end reads. We use the dnmtools uniq command to randomly select one from multiple reads mapped exactly to the same location. Without random oligos as UMIs, this is our best indication of PCR duplicates.

Estimating methylation levels: After reads are mapped and filtered, the dnmtools counts command is used to obtain read coverage and estimate methylation levels at individual cytosine sites. We count the number of methylated reads (those containing a C) and the number of unmethylated reads (those containing a T) at each nucleotide in a mapped read that corresponds to a cytosine in the reference genome. The methylation level of that cytosine is estimated as the ratio of methylated to total reads covering that cytosine. For cytosines in the symmetric CpG sequence context, reads from the both strands are collapsed to give a single estimate. Very rarely do the levels differ between strands (typically only if there has been a substitution, as in a somatic mutation), and this approach gives a better estimate.

Bisulfite conversion rate: The bisulfite conversion rate for an experiment is estimated with the dnmtools bsrate command, which computes the fraction of successfully converted nucleotides in reads (those read out as Ts) among all nucleotides in the reads mapped that map over cytosines in the reference genome. This is done either using a spike-in (e.g., lambda), the mitochondrial DNA, or the nuclear genome. In the latter case, only non-CpG sites are used. While this latter approach can be impacted by non-CpG cytosine methylation, in practice it never amounts to much.

Identifying hypomethylated regions (HMRs): In most mammalian cells, the majority of the genome has high methylation, and regions of low methylation are typically the interesting features. (This seems to be true for essentially all healthy differentiated cell types, but not cells of very early embryogenesis, various germ cells and precursors, and placental lineage cells.) These are valleys of low methylation are called hypomethylated regions (HMR) for historical reasons. To identify the HMRs, we use the dnmtools hmr command, which uses a statistical model that accounts for both the methylation level fluctations and the varying amounts of data available at each CpG site.

Partially methylated domains: Partially methylated domains are large genomic regions showing partial methylation observed in immortalized cell lines and cancerous cells. The pmd program is used to identify PMDs.

Allele-specific methylation: Allele-Specific methylated regions refers to regions where the parental allele is differentially methylated compared to the maternal allele. The program allelic is used to compute allele-specific methylation score can be computed for each CpG site by testing the linkage between methylation status of adjacent reads, and the program amrfinder is used to identify regions with allele-specific methylation.

For more detailed description of the methods of each step, please refer to the DNMTools documentation.