Read metrics |
Number of mapped and unmapped reads |
CpG Coverage |
Number of CpGs observed with a minimum coverage threshold |
M-bias |
Average methylation by position across reads. Deviation from uniformity typically indicates a problem with library construction or data preprocessing. |
Downsampling saturation curve |
CpG coverage as a function of number of reads. A rising curve indicates that we would expect to observe additional CpGs from deeper sequencing of a library |
CpG discretization |
Useful in single-cell analysis, this represents the fraction of CpGs with non-binary methylation status |
Feature level coverage |
The fraction of key genomic features (e.g. promoters, CpG Islands), covered with at least 1 CpG. |
Bisulfite conversion rate |
The proportion of non CpG context C’s that were converted to T. This should be close to 100% in most mammalian tissues. |
CpG density distribution |
The CpG density distribution around observed CpGs is typically similar across samples indicating coverage of similar genomic regions. |
Methylation distribution |
Unexpected sample-to-sample deviations in the distribution of methylation values can indicate potential technical artifacts |