Login / Signup

Performance of neural network basecalling tools for Oxford Nanopore sequencing.

Ryan R WickLouise M JuddKathryn E Holt
Published in: Genome biology (2019)
Basecalling accuracy has seen significant improvements over the last 2 years. The current version of ONT's Guppy basecaller performs well overall, with good accuracy and fast performance. If higher accuracy is required, users should consider producing a custom model using a larger neural network and/or training data from the same species.
Keyphrases
  • neural network
  • single cell
  • electronic health record
  • single molecule
  • big data
  • artificial intelligence
  • deep learning
  • virtual reality
  • genetic diversity