DiffNovo: A Transformer-Diffusion Model for De Novo Peptide Sequencing
peer-reviewed · Bioinformatics and Computational Biology (BICOB 2025) · 2025
peer-reviewed · Bioinformatics and Computational Biology (BICOB 2025) · 2025. Shiva Ebrahimi et al.
| Date | 2025-07-24 |
| Type | peer-reviewed |
| Venue | Bioinformatics and Computational Biology (BICOB 2025) |
| Publisher | Bioinformatics and Computational Biology: 17th International Conference |
| Contribution | algorithm |
| DOI | 10.1007/978-3-031-94039-2_8 |
| Citations (OpenAlex) | 0 |
Methods and tools
- DiffNovo: Transformer-diffusion model
Cites (8)
- A transformer model for de novo sequencing of data independent acquisition mass spectrometry data (2025) crossref
- A transformer model for de novo sequencing of data independent acquisition mass spectrometry data (2024) crossref
- Transformer-Based De Novo Peptide Sequencing for Data-Independent Acquisition Mass Spectrometry (2023) crossref
- Accurate de novo peptide sequencing using fully convolutional neural networks (2023) crossref
- BiATNovo: A Self-Attention based Bidirectional Peptide Sequencing Method (2023) crossref
- Deep Active Learning for De Novo Peptide Sequencing from Data-independent-acquisition Mass Spectrometry (2022) crossref
- Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry (2018) crossref
- De novo peptide sequencing by deep learning (2017) crossref