Our goals and methods
Most of our research topics are highly interdisciplinary and require a wide range of expertise. To this end both the scientific backgrounds of our team members and our analysis approaches are diverse and versatile.
Our background
Our group combines the expertise of physicists, biologists, bioinfomaticians and biotechnologists.
Collaborations
For an even wider perspective, we routinely collaborate with microbiologists, virologists, immunologists, medical doctors and veterinary doctors.
Big data analysis
Many of our projects require the analysis of large data sets (e.g. NGS raw data, methylation, etc.). We are experienced in the computational exploration and visualization of such data sets and are also continously developing new methods for these purposes.
Artificial intelligence
Keeping up with worldwide scientific innovations, our team is well-versed in various machine-learning techniques and has built high-performing neural networks for specific tasks.
Research projects
Europe Horizon - projects on infectious diseases
Europe Horizon - projects on infectious diseases
These projects aim to generate and distribute high-quality actionable information for evidence-based early warning, risk assessment and monitoring of emerging infectious diseases (EIDs) and antimicrobial resistance (AMR)
SARS-CoV-2 research
SARS-CoV-2 research
Big Data analysis pipelines for large sets of SARS-CoV-2 sequencing data and deep learning methods for predicting severity
Collaborative analysis platforms (Kooplex)
Collaborative analysis platforms (Kooplex)
Kooplex is an open source tool for data exploration and visualization with many collaborative features. It is a platform to analyze data, develop algorithms, workflows and/or create reports with digested data in interactive formats.
Deep learning and image analysis
Deep learning and image analysis
We develop deep learning algorithms for accurate and high-performing (image) classification tasks in a variety of fields.
Aging
Aging
We build models for the accurate prediction of chronological age based on biological parameters, in most cases DNA-methylation values
Biomarker development (FIEK)
Biomarker development (FIEK)
We provide informatics support for groups in the FIEK Biotechnology consortium where the aim is the development of new molecular biomarkers
Hungarian Oncogenome
Hungarian Oncogenome
We provide bioinformatics assistence and support for the "Hungarian Oncogenome and Personalised Tumor Diagnostics and Therapy National project" with the goal of creating a detailed molecular genetic characterization of the most common tumors in Hungary
Team
István Csabai, DSc
Professor, Head of Research Group csabai@elte.hu
Gergely Palla, DSc
Professor palla.gergely@ttk.elte.hu
Krisztián Papp, PhD
Senior Research Fellow krisztian.papp@ttk.elte.hu
Péter Pollner, PhD
Senior Research Fellow peter.pollner@ttk.elte.hu
József Stéger, PhD
Research Fellow jozsef.steger@ttk.elte.hu
Dávid Visontai, PhD
Research Fellow david.visontai@ttk.elte.hu
Anna Medgyes-Horváth, PhD
Research Fellow horvath.anna@ttk.elte.hu
Anikó Mentes, PhD
Research Fellow aniko.mentes@ttk.elte.hu
Orsolya Pipek, PhD
Research Fellow orsolya.pipek@ttk.elte.hu
Norbert Solymosi, PhD
University of Veterinary Medicine solymosi@staff.elte.hu
Sándor Spisák, PhD
HUN-REN, Epigenetic and Genome Editing Research Group spisak.sandor@ttk.hu
Ákos Gellért, PhD
HUN-REN, ÁTKI gellert.akos@vmri.hun-ren.hu
Anna Apari, MSc
Assistant Research Fellow aparianna5@gmail.com
Ágnes Becsei, MSc
PhD student agnes.becsei@ttk.elte.hu
Alex Olar, MSc
PhD student olar.alex@ttk.elte.hu
András Biricz, MSc
PhD student andras.biricz@ttk.elte.hu
Adrienn Tóth, MSc
PhD student, University of Veterinary Medicine tothadrienngreta@gmail.com
Zsolt Bedőházi, MSc
PhD student zsoltbedohazi@inf.elte.hu
Oz Kilim, MSc
PhD student ozkilim@student.elte.hu
Csaba Kiss, MSc
PhD student
Mirkó Mocskonyi, MSc
PhD student mocskonyi.mirko@gmail.com
Balázs Pál, MSc
PhD student pal.balazs@ttk.elte.hu
Regina Fiam, BSc
MSc student fregin@student.elte.huPast Members
Zoltán Udvarnoki
PhD student
Dezső Ribli
PhD student
Bálint Ármin Pataki
PhD student
Judit Börcsök
PhD student
András Major
BSc student
János Szalai-Gindl
Assistant LecturerCollaborations
Department of Immunology
ELTE TTK, Budapest, Hungary
3DHISTECH Ltd.
Budapest, Hungary
Danish Cancer Society
Coppenhagen, Denmark
Boston Children's Hospital
Harvard Medical School, Boston, USA
Institute of Molecular Life Sciences
HUN-REN TTK, Budapest, Hungary
Semmelweis University
Various departments, Budapest, HungaryRecent publications
For an extensive list of all published works, click on the button below.
Annotated dataset for training deep learning models to detect astrocytes in human brain tissue
A Olar, T Tyler, P Hoppa, E Frank, I Csabai, I Adorjan, P Pollner
Scientific Data 11 (1), 96 (2024)
Biologically informed deep learning for explainable epigenetic clocks
A Prosz, O Pipek, J Börcsök, G Palla, Z Szallasi, S Spisak, I Csabai
Scientific Reports 14 (1), 1306 (2024)
Systematic detection of co-infection and intra-host recombination in more than 2 million global SARS-CoV-2 samples
OA Pipek, A Medgyes-Horváth, J Stéger et al.
Nature Communications 15 (1), 517 (2024)
The potential of Hungarian bauxite residue isolates for biotechnological applications
V Feigl, A Medgyes-Horváth, A Kari et al.
Biotechnology Reports 41, e00825 (2023)
Bacterial colony size growth estimation by deep learning
SÁ Nagy, L Makrai, I Csabai, D Tőzsér, G Szita, N Solymosi
BMC microbiology 23 (1), 307 (2023)
A biallelic multiple nucleotide length polymorphism explains functional causality at 5p15. 33 prostate cancer risk locus
S Spisak, V Tisza, PV Nuzzo et al.
Nature Communications 14 (1), 5118 (2023)
Liquid biopsy-based monitoring of residual disease in multiple myeloma by analysis of the rearranged immunoglobulin genes–A feasibility study
A Marx, M Osváth, B Szikora et al.
Plos one 18 (5), e0285696 (2023)
Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort
O Pipek, D Alpár, O Rusz et al.
International Journal of Molecular Sciences 24 (10), 8553 (2023)
Contact
The office of István Csabai, the head of our research group is located on the 5th floor of the building at Pázmány Péter sétány 1/A, with office number 5.102.
Our Address
Pázmány Péter sétány 1/A., Budapest, H-1117, Hungary
Email Us
csabai@elte.hu
istvan.csabai@ttk.elte.hu
Call Us
+361 372 2826
+361 372 2500/6576