MysteryMaster: scraping the bottom of the barrel of barcoded Oxford nanopore reads.

ABSTRACT:

Background

The high error rate associated with Oxford Nanopore sequencing technology adversely affects demultiplexing. To improve demultiplexing and reduce unclassified reads from nanopore sequencing data, we developed MysteryMaster, a demultiplexer that utilizes the optimal sequence aligner, Cola.

Results

When compared to Oxford Nanopore´s Dorado and Guppy demultiplexing tools across three datasets of 37 diverse samples with established ground truth, we found that MysteryMaster accurately identifies a similar or greater percentage of reads among the different basecalling models: Fast, HAC, and SUP. MysteryMaster performs slightly better than the other tools on data that was basecalled using the Fast basecalled model, while its performance in HAC and SUP data is similar to D

SUBMITTER: Khezri A 

PROVIDER: S-EPMC12487470 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature