research line
Data analysis
The Data Analysis research line represents a core strength of ITB, combining advanced bioinformatics expertise with state-of-the-art computational approaches to enable large-scale biomedical data analysis. This research line focuses on the development of robust tools and automated pipelines for “omics data”. In this way ITB supports the elucidation of disease mechanisms, promotes biomarker discovery, and enhances patient stratification for clinical research.
Research Activities
Development of bioinformatics tools for Big Data analysis.
Application of advanced statistical methods, machine learning, deep learning, explainable AI (XAI), and data mining for predicting pathological mechanisms, identifying disease biomarkers and supporting patient stratification.
Development, application and optimization of automated pipelines for the analysis of genomics, epigenomics and transcriptomics data for large-scale studies.
Deployment and application of automated analysis pipelines for the analysis of bulk, single-cell and spatial transcriptomics data.
Development of innovative methodologies in network medicine, leveraging molecular networks and pathways for integrative data analysis
TCR/BCR profiling and multi-modal data integration for immunological studies
