Dario Ghersi
College of Information Science and Technology, University of Nebraska at Omaha
The Peter Kiewit Institute 173B
1110 S. 67th Street
Omaha, NE 68182
My laboratory is broadly focused on developing and using computational approaches to understand life at the molecular level. I am particularly interested in exploring large-scale cancer genomics datasets, integrating different types of data to gain insights into the molecular bases of cancer and immune system function.
Ongoing projects in my lab:
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Developing computational approaches to model and characterize the T Cell Receptor/pMHC complex, one of the key components of our immune system
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Building machine learning infrastructure to automatically annotate pathology slides (collaboration with the Ligorio Lab)
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Agent-based modeling of complex biological systems
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Fragment-based drug discovery
selected publications
- Interaction-based discovery of functionally important genes in cancersNucleic Acids Research, 2014
- molBLOCKS: decomposing small molecule sets and uncovering enriched fragmentsBioinformatics, 2014
- Uncovering and characterizing splice variants associated with survival in lung cancer patientsPLoS computational biology, 2019
- Variant calling enhances the identification of cancer cells in single-cell RNA sequencing dataPLoS computational biology, 2022
- Engineering an ACE2-Derived Fragment as a Decoy for Novel SARS-CoV-2 VirusACS pharmacology & translational science, 2023
- Computational Methods for Predicting Key Interactions in T Cell–Mediated Adaptive ImmunityAnnual Review of Biomedical Data Science, 2024