NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics

Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling +4 more
2/3/2026

No official code found. Best implementation: jingbo02/NovoBench (13 stars, MIT, last commit 2024-11-23).

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Code Implementations(1)

jingbo02/NovoBenchCommunity70%
MIT

[NeurIPS 2024] "NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics"

133Python, Jupyter NotebookMay 9, 20241 years agoMIT

Cite this paper

@article{zhou2026novobench,
  title  = {NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics},
  author = {Jingbo Zhou and Shaorong Chen and Jun Xia and Sizhe Liu and Tianze Ling and Wenjie Du and Yue Liu and Jianwei Yin and Stan Z. Li},
  year   = {2026},
  url    = {https://www.semanticscholar.org/paper/dea2a531559c4f903489a950fa25b5839840fc57},
  journal = {NEURIPS 2024 2024}
}

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