Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry
peer-reviewed · Nature Methods · 2018
peer-reviewed · Nature Methods · 2018. Ngoc Hieu Tran et al.
| Date | 2018-12-20 |
| Type | peer-reviewed |
| Venue | Nature Methods |
| Publisher | Nature Methods |
| Contribution | algorithm |
| DOI | 10.1038/s41592-018-0260-3 |
| Citations (OpenAlex) | 391 |
| Venue 2-year citedness | 20.00 |
Methods and tools
- DeepNovo-DIA: First de novo for DIA
Cites (2)
Cited by (29)
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- DiNovo: high-coverage, high-confidence de novo peptide sequencing using mirror proteases and deep learning (2025) crossref
- Metaproteomics Beyond Databases: Addressing the Challenges and Potentials of De Novo Sequencing (2025) crossref
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- NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics (2024) semanticscholar
- A transformer model for de novo sequencing of data independent acquisition mass spectrometry data (2024) crossref
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- Transformer-Based De Novo Peptide Sequencing for Data-Independent Acquisition Mass Spectrometry (2023) crossref
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- SeqNovo: De Novo Peptide Sequencing Prediction in IoMT via Seq2Seq (2023) crossref
- De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments (2023) both
- Algorithms for de-novo sequencing of peptides by tandem mass spectrometry: A review (2023) crossref
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- BiATNovo: A Self-Attention based Bidirectional Peptide Sequencing Method (2023) both
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- Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices (2021) crossref
- Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines (2020) crossref
- Deep Learning in Proteomics (2020) both
- Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework (2019) both
- Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines (2019) crossref