How is nanopore current data converted into a clinical result?

The raw output from the MinION is a continuous electrical current trace for each of the 2,048 nanopore channels, recorded at kilohertz sampling rates over the measurement period. The Yenos bioinformatics pipeline processes this raw data through several steps: (1) baseline current establishment per channel (target: 180 pA); (2) event detection — identifying current blockage events that meet minimum depth and duration criteria; (3) event classification — distinguishing osmium-tagged miRNA events from noise or other molecules using machine-learning-derived signatures; (4) per-target counting — separating events for miR-21, miR-375, miR-141, and miR-15b by their distinctive osmium-tag signatures; (5) HL calculation — converting counts to concentrations and normalizing to total RNA for HL scoring; (6) threshold comparison — each HL score is compared to 1.5× HL to determine Normal or Elevated classification.