A dataset containing counts of methylation patterns at 1,000,000 randomly sampled CpG 4-tuples from 17 samples. Whilst these data are extracted from real biological experiments, they are for illustrative purposes only and are fairly useless without the associated genomic co-ordinates and other metadata.
A DSArray object with 1,000,000 rows (tuples), 17 columns (samples), and 16 slices (possible methylation patterns):
rows have been deidentified by removing the genomic co-ordinates
sample names. Please consult the original publications for sample descriptions
The type of methylation pattern, e.g.,
methylated at all 4 CpGs in the 4-tuple
The DSArray representation of the data use 70 Mb of memory compared to 1 Gb for the array representation.
Data originally published in:
Lister, R. et al. Human DNA methylomes at base resolution show widespread epigenomic differences. Nature 462,315-322 (2009)
Lister, R. et al. Hotspots of aberrant epigenomic reprogramming in human induced pluripotent stem cells. Nature 471, 68-73 (2011)
Data re-analysed by Peter Hickey using
(https://github.com/PeteHaitch/methtuple) to extract the methylation
patterns at 4-tuples.
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