High-accuracy SNV calling for bacterial isolates using deep learning with AccuSNV.

Abstract excerpt

Accurate detection of mutations within bacterial species is critical for fundamental studies of microbial evolution, reconstruction of transmission events, and identification of antimicrobial resistance mutations. Although many tools have been developed to identify single-nucleotide variants (SNVs) from whole-genome sequencing, they often suffer from high false-positive rates owing to the complexity of bacterial...

Topics

• Deep Learning
• Polymorphism, Single Nucleotide
• Genome, Bacterial
• Bacteria
• Convolutional Neural Networks
• Software