Papers de novo peptide sequencing
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DeepNovoV2: Better de novo peptide sequencing with deep learning
Personalized cancer vaccines are envisioned as the next generation rational cancer immunotherapy. The key step in developing personalized therapeutic cancer vaccines is to identify tumor-specific neoantigens that are on …
Deep Learningde novo peptide sequencingDeep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry
We present DeepNovo-DIA, a de novo peptide-sequencing method for data-independent acquisition (DIA) mass spectrometry data. We use neural networks to capture precursor and fragment ions across m/z, retention-time, and in…
de novo peptide sequencingProtein identification with deep learning: from abc to xyz
Proteins are the main workhorses of biological functions in a cell, a tissue, or an organism. Identification and quantification of proteins in a given sample, e.g. a cell type under normal/disease conditions, are fundame…
Deep Learningde novo peptide sequencingDe novo peptide sequencing by deep learning
Significance Our method, DeepNovo, introduces deep learning to de novo peptide sequencing from tandem MS data, the key technology for protein characterization in proteomics research. DeepNovo achieves major improvement …
Deep Learningde novo peptide sequencing