The Laboratory of Computational Omics (CompOmics-Lab) focuses on the development of methods for the analysis and integration of omics data to understand underlying mechanisms of disease, facilitate the generation of testable hypotheses, and identify potential therapeutics in human and animal studies. Specifically, our research focuses on developing methods for inferring gene regulatory mechanisms, disease prediction, and discovering biomarkers based on genetic, genomic, epigenetic, and clinical data. Our approaches are diverse, including optimization, machine learning, and statistical modeling.
We welcome collaborations and contributions from researchers, students, and bioinformatics enthusiasts. If you're interested in contributing to our projects or joining the lab, feel free to check our repositories or contact us through our organizational page.
- 🧬 Learn more about our research projects and publications – Visit our lab website for detailed information.
Our team thrives on caffeine and curiosity, with a side of exciting conversations about genomics and computational challenges! ☕🧠