Presentation Information
[8a-C214-2]Automatic Detection of ssDNA Translocation Events and Construction of a Labeled Dataset Using Solid-State ELGP Nanopores
〇(DC)Yoh Onozawa1, Kosuke Wakabayashi1, Toshiki Ogawara1, Shota Gamo1, Zhengze Guo1, Minoru Yano2, Seiichiro Izawa1, Yohei Sasagawa2, Itoshi Nikaido2, Yutaka Majima1 (1.MSL, Science Tokyo, 2.MRI, Science Tokyo)
Keywords:
nanopore,DNA sequencer,Microfabrication Technology
Nanopore sequencers, which allow the analysis of structural variants without cutting
the DNA, are gaining attention. We observed slow single-stranded DNA (ssDNA)
passage events at approximately 140 nt/s using ELGP gold nanopores. While the link
between passage events and sequence information is vital for sequence analysis,
manually extracting events from large amounts of current waveforms is inefficient. In
this study, we used HMM to automatically detect passage events and built a tagged
dataset that includes sequence, fabrication, and measurement conditions.
the DNA, are gaining attention. We observed slow single-stranded DNA (ssDNA)
passage events at approximately 140 nt/s using ELGP gold nanopores. While the link
between passage events and sequence information is vital for sequence analysis,
manually extracting events from large amounts of current waveforms is inefficient. In
this study, we used HMM to automatically detect passage events and built a tagged
dataset that includes sequence, fabrication, and measurement conditions.