De novo peptide sequencing by deep learning

The proposed DeepNovo architecture combines recent advances in convolutional neural networks and recurrent neural networks to learn features of tandem mass spectra, fragment ions, and sequence patterns of peptides to solve the complex optimization task of de novo sequencing.