Real-Time, Direct Classification of Nanopore Signals with SquiggleNet
Yuwei Bao, Jack Wadden, John R. Erb‐Downward, Piyush Ranjan, Weichen Zhou, Torrin L. McDonald, Ryan E. Mills, Alan P. Boyle, Robert P. Dickson, David T. Blaauw, Joshua D. Welch
SquiggleNet classifies nanopore signals in real time with high accuracy, outperforming traditional methods in speed and memory usage.
bioRxiv · Jan 15, 2021 · PreprintBioinformatics