From: NanoMod: a computational tool to detect DNA modifications using Nanopore long-read sequencing data
Datasets | #base in ref a | #reads b | #modification c | Modification types |
---|---|---|---|---|
100 ‘MeanDif’ simulation datasets | 6184-bp | 200 in each dataset | a group of 60 modifications | Only signal mean of modified bases was affected without neighborhood effect. |
100 ‘STDDif’ simulation datasets | 6184-bp | 200 in each dataset | a group of 60 modifications | Only signal standard deviation of modified bases was affected without neighborhood effect. |
100 ‘Mean_STDDif’ simulation datasets | 6184-bp | 200 in each dataset | a group of 60 modifications | Both signal mean and standard deviation of modified bases were affected without neighborhood effect. |
100 ‘Mean_STDDif_NE’ simulation datasets | 6184-bp | 200 in each dataset | a group of 60 modifications | Both signal mean and standard deviation of modified bases were affected with neighborhood effect. |
E. coli [3] | ~ 4.64 Mb | 181,092 | 693,586 | Methylation at all CpG sites |