PIPI-C: A Combinatorial Optimization Framework for Identifying Post-translational Modification Hot-spots in Mass Spectrometry Data
- DOI
- 10.1016/j.mcpro.2025.101494
- Published
- 2026-02
- Container
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mcpro.2025.101494,
title = {PIPI-C: A Combinatorial Optimization Framework for Identifying Post-translational Modification Hot-spots in Mass Spectrometry Data},
author = {Shengzhi Lai and Shuaijian Dai and Peize Zhao and Chen Zhou and Ning Li and Weichuan Yu},
year = {2026},
journal = {Molecular \& Cellular Proteomics},
doi = {10.1016/j.mcpro.2025.101494},
url = {https://doi.org/10.1016/j.mcpro.2025.101494}
}RIS
TY - JOUR TI - PIPI-C: A Combinatorial Optimization Framework for Identifying Post-translational Modification Hot-spots in Mass Spectrometry Data AU - Shengzhi Lai AU - Shuaijian Dai AU - Peize Zhao AU - Chen Zhou AU - Ning Li AU - Weichuan Yu PY - 2026 JO - Molecular & Cellular Proteomics DO - 10.1016/j.mcpro.2025.101494 UR - https://doi.org/10.1016/j.mcpro.2025.101494 ER -
APA
Lai, S., Dai, S., Zhao, P., Zhou, C., Li, N., & Yu, W. (2026). PIPI-C: A Combinatorial Optimization Framework for Identifying Post-translational Modification Hot-spots in Mass Spectrometry Data. Molecular & Cellular Proteomics. https://doi.org/10.1016/j.mcpro.2025.101494
Source records
- crossref · retrieved 2026-09-25T01:29:32.846Z