Detecting DNA cytosine methylation using nanopore sequencing
A hidden Markov model (HMM)-based tool enables detection of 5-methylcytosine (5-mC) from single-molecule nanopore-sequencing data generated directly from human genomic DNA without chemical treatment. In nanopore sequencing devices, electrolytic current signals are sensitive to base modifications, su...
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Veröffentlicht in: | Nature methods 2017-04, Vol.14 (4), p.407-410 |
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Sprache: | eng |
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Zusammenfassung: | A hidden Markov model (HMM)-based tool enables detection of 5-methylcytosine (5-mC) from single-molecule nanopore-sequencing data generated directly from human genomic DNA without chemical treatment.
In nanopore sequencing devices, electrolytic current signals are sensitive to base modifications, such as 5-methylcytosine (5-mC). Here we quantified the strength of this effect for the Oxford Nanopore Technologies MinION sequencer. By using synthetically methylated DNA, we were able to train a hidden Markov model to distinguish 5-mC from unmethylated cytosine. We applied our method to sequence the methylome of human DNA, without requiring special steps for library preparation. |
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ISSN: | 1548-7091 1548-7105 |
DOI: | 10.1038/nmeth.4184 |