Open Access
Issue
BIO Web Conf.
Volume 237, 2026
2026 8th International Conference on Biotechnology and Biomedicine (ICBB 2026)
Article Number 03021
Number of page(s) 4
Section Biomaterials, Medical Devices and Biomedical Engineering
DOI https://doi.org/10.1051/bioconf/202623703021
Published online 10 June 2026
  • Deutsch, Eric W., et al. “The ProteomeXchange consortium in 2026: making proteomics data FAIR.” Nucleic acids research 54.D1 (2026): D459–D469. [Google Scholar]
  • Martens, Lennart, and Juan Antonio Vizcaíno. “A golden age for working with public proteomics data.” Trends in biochemical sciences 42.5 (2017): 333–341. [Google Scholar]
  • Eng, Jimmy K., Tahmina A. Jahan, and Michael R. Hoopmann. “Comet: an open ‐ source MS/MS sequence database search tool.” Proteomics 13.1 (2013): 22–24. [Google Scholar]
  • McGann, Christopher D., et al. “Comet fragment- ion indexing for enhanced peptide sequencing.” Journal of Proteome Research 24.7 (2025): 3715–3721. [Google Scholar]
  • Kong, Andy T., et al. “MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics.” Nature methods 14.5 (2017): 513–520. [Google Scholar]
  • Solntsev, Stefan K., et al. “Enhanced global post- translational modification discovery with MetaMorpheus.” Journal of proteome research 17.5 (2018): 1844–1851. [Google Scholar]
  • Lazear, Michael R. “Sage: an open-source tool for fast proteomics searching and quantification at scale.” Journal of Proteome Research 22.11 (2023): 3652–3659. [Google Scholar]
  • Pfeuffer, Julianus, et al. “OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data.” Nature methods 21.3 (2024): 365–367. [Google Scholar]
  • Dai, Chengxin, et al. “quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data.” Nature Methods 21.9 (2024): 1603–1607. [Google Scholar]
  • D’Angelo, Gina, et al. “Statistical models for the analysis of isobaric tags multiplexed quantitative proteomics.” Journal of proteome research 16.9 (2017): 3124–3136. [Google Scholar]

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