Research
Faculty in the Computational Biology program are engaged in cutting-edge research in a variety of areas,
including computational genomics, systems biology, and bioinformatics. The best way to learn about the research
being done by our faculty is to visit their websites and read their recent publications. You can find a list of
faculty members and their websites on the faculty page. Here are some recent publications by our faculty:
You can also browse papers from UVA COBI on PUBMED.
Recent publications
Biosurfer for systematic tracking of regulatory mechanisms leading to protein isoform diversity.
Embracing Foundation Models for Advancing Scientific Discovery.
The Type 1 Diabetes Genetics Consortium (T1DGC).
Rare damaging CCR2 variants are associated with lower lifetime cardiovascular risk.
CXC-Chemokine-Receptor-Type-5 Expression on Circulating Naive B Cells Predicts Improvement After Cardiac Resynchronization Therapy.
Sex Differences in Chronic Obstructive Pulmonary Disease: Implications for Pathogenesis, Diagnosis, and Treatment.
Methylome-wide association analyses of lipids and modifying effects of behavioral factors in diverse race and ethnicity participants.
Biological databases in the age of generative artificial intelligence.
A large-scale genome-wide study of gene-sleep duration interactions for blood pressure in 811,405 individuals from diverse populations.
Mechanistic insights into the structure-based design of a CspZ-targeting Lyme disease vaccine.
Alterations in DNA Methylation, Proteomic, and Metabolomic Profiles in African Ancestry Populations with APOL1 Risk Alleles.
Data Processing in Multidimensional MRI For Biomarker Identification: Is It Necessary?
Large-scale multi-omics analyses in Hispanic/Latino populations identify genes for cardiometabolic traits.
Perturb-tracing enables high-content screening of multi-scale 3D genome regulators.
Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele.
Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks.
Unfolding the Mystery of Autoimmunity: The Environmental Determinants of Diabetes in the Young (TEDDY) Study.
Uncovering Important Diagnostic Features for Alzheimer's, Parkinson's and Other Dementias Using Interpretable Association Mining Methods.
Genome-Wide Association Study of Quantitative Kidney Function in 52,531 Individuals with Diabetes Identifies Five Diabetes-Specific Loci.
Single-cell elderly blood-CSF atlas implicates peripherally influenced immune dysregulation in normal pressure hydrocephalus.