At the CCM, we provide expert support in the analysis of biomedical data across a wide range of disciplines. Our team applies advanced computational methods to transform raw data into meaningful insights that drive research and clinical innovation.
Our expertise includes:
- High-throughput sequencing – We handle DNA, RNA, single-cell, and epigenomic datasets, performing both primary analyses (read mapping, genome assembly) and secondary analyses such as variant detection, variant prioritization, differential expression, transcript abundance estimation, and alternative splicing identification.
- Multi-omics integration – Combining genomics, transcriptomics, proteomics, and metabolomics, we uncover patterns and relationships across datasets to drive discovery and support research hypotheses.
- Imaging data analysis – Advanced algorithms for MRI and biomedical imaging data enable quantification, image segmentation, pattern recognition, and predictive insights for research and clinical applications.
- Predictive modeling & machine learning – AI and statistical methods to predict disease outcomes, identify biomarkers, develop molecular disease signatures, cluster patients into phenotype groups, and extract meaningful insights from complex data.
- Custom databases – We develop curated genomic and variant databases, providing tools for querying, visualization, and downstream research applications.
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