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Regular version of the site

Laboratory on AI for Computational Biology

Publications
Article
Efficient indexing of peptides for database search using Tide

Acquaye F. L., Kertesz-Farkas A., Stafford Noble W.

Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 577-584.

Article
Exact p-value calculation for XCorr scoring of high-resolution MS/MS data

Bhimani K. R., Peresadina A., Voznyuk D. et al.

Proteomics. 2024. Vol. 24. No. 5.

Article
The Crux toolkit for analysis of bottom-up tandem mass spectrometry proteomics data

Kertesz-Farkas A., Acquaye F. L., Kishankumar Bhimani et al.

Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 561-569.

About the Laboratory

Welcome to the AIC Lab. We create cutting-edge deep learning technologies for biomolecular medical data analysis to be used in life sciences and biomedical applications. We are an international, English-speaking, multidisciplinary group with a background in computer science, math, and molecular biology.

Join the English-speaking AIC Lab and gain hands on experience with high-performance computing technologies, statistical testing methods, and deep learning methods applied on interesting real-life applications. Research projects are available at any levels (BSC, MSc, PhD, Post-doc, summer practice, and summer internships).