Fig. 3: Spl-ISO-quant enables long-read analysis including highly specific barcode deconvolution.

a Outline of Spl-IsoQuant algorithm. b Barcode calling and UMI determination in Spl-IsoQuant. c Precision and recall as a function of minimal scores overall in Spl-IsoQuant with truncation, which is representative of ONT data. Grey indicates recall and red indicates precision. d Precision for individual barcodes. e Precision and recall as a function of minimal scores overall in Spl-IsoQuant with no truncation. Grey indicates recall and red indicates precision. f Number of reads found by Spl-IsoQuant to meet criteria cutoffs separated by reads modeled with usual truncation and no truncation.