Kristof Denolf

This paper introduces open-source GPU-accelerated basecalling tools for nanopore sequencing that are hardware-independent and competitive with proprietary solutions.

This paper introduces RUBICON, a framework for designing efficient deep learning-based genomic basecallers, and demonstrates its effectiveness with RUBICALL, a hardware-optimized mixed-precision basecaller that outperforms existing methods.