Snappy: de novo identification of DNA methylation sites based on Oxford Nanopore reads
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Summary
Nowadays, search for methylation sites in bacteria is usually performed by direct detection of nucleotide motifs over-represented in modified contexts, using classical motif enrichment approaches oriented only on context sequences themselves. Herein, we present a new algorithm Snappy, which is actually rethinking of the original Snapper algorithm but does not use any enrichment heuristics and does not require control sample sequencing. Opposite to previous methods, Snappy uses raw basecalling data simultaneously with the motif enrichment process, thus significantly enhancing the enrichment sensitivity and accuracy compared with other enrichment algorithms. The versatility of the method was shown on both our and external data, representing different bacterial taxa with complex and simple methylome.
Availability and implementation
Source code and documentation is hosted on GitHub ( https://github.com/DNKonanov/ont-snappy ) and Zenodo (zenodo.org/records/16731817). For accessibility, Snappy is installable from PyPi using ‘pip install ont-snappy’ command.
