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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). 


Illustration for news: “I got the opportunity to see the computer science principles applied in a different domain. It’s one thing knowing that they can be applied in multiple domains but it’s another seeing it up close.”

“I got the opportunity to see the computer science principles applied in a different domain. It’s one thing knowing that they can be applied in multiple domains but it’s another seeing it up close.”

Frank Acquaye is a PhD student atthe Department of Data Analysis and Artificial Intelligence, Faculty of Computer Science, National Research University Higher School of Economics. As part of his postgraduate studies, Frank spent several months inthe Noble Research Lab at the University of Washington, USA, where he did research.

Illustration for news: AIC Lab Celebrates End of School Year

AIC Lab Celebrates End of School Year

Members of AIC Lab met in an informal setting to celebrate the end of the academic year.

Illustration for news: Attila Kertes-Farkas received the best award for his presentation at IMLC 2023 conference

Attila Kertes-Farkas received the best award for his presentation at IMLC 2023 conference

The head of AIC Laboratory, Attila Kertes-Farkas, was awarded for the best presentation at the ICMLC 2023 conference.

Illustration for news: Congratulations to the Head of Laboratory on AI for Computational Biology Kertesz-Farkas Attila on receiving the well-deserved award

Congratulations to the Head of Laboratory on AI for Computational Biology Kertesz-Farkas Attila on receiving the well-deserved award

The head of the laboratory is presented for the award.

Illustration for news: International seminar "Light scattering techniques – versatile tools to study nanoparticle dispersions"

International seminar "Light scattering techniques – versatile tools to study nanoparticle dispersions"

An international seminar was held jointly with the University of Szeged.

Illustration for news: Attila Kertesz-Farkas successfully defended Doctoral Thesis

Attila Kertesz-Farkas successfully defended Doctoral Thesis

On May 19th, 2022, Attila Kertesz-Farkas defended the doctoral thesis.

Illustration for news: Attila Kertesz-Farkas had a talk on FCS's Colloquium meeting

Attila Kertesz-Farkas had a talk on FCS's Colloquium meeting

 AIC LAB Head had a talk at traditional colloquium.

Illustration for news: AIC LAB wish you Merry Christmas and Happy New Year

AIC LAB wish you Merry Christmas and Happy New Year

Merry Christmas!

Illustration for news: Seminar "Neuro-Symbolic approaches in Visual Question Answering problems"

Seminar "Neuro-Symbolic approaches in Visual Question Answering problems"

The next workshop of the laboratory took place.

Illustration for news: Seminar "Computational methods for tandem mass spectrometry data annotation"

Seminar "Computational methods for tandem mass spectrometry data annotation"

On November 26, 2021 an online seminar was held on the results of a study by the head of the laboratory Attila Kertesz-Farkas.