Bioinformatics & Genomics
Research in Bioinformatics and Genomics at UVA uses quantitative methods to describe the behavior of genes, genomes, and biological systems.At the intersection of experimental and computational biology, genomics research involves interpretation and integration of large-scale, genome-wide datasets.
These approaches are being applied to diverse topics in biology and medicine including cancer genomics, human and model organism genetics, epigenetics, and evolution. Active areas of research at the University of Virginia include whole-genome sequencing, cancer genome evolution, disease gene mapping, personalized medicine, gene expression profiling, epigenome mapping, high-throughput functional genetics, genome annotation, protein evolution, and pathway reconstruction.
Genomics and bioinformatics research often requires the development of new techniques, including both experimental protocols and data analysis algorithms, to enable a deeper understanding of complex biological systems. In this respect, the field is entering a new and exciting era; rapidly improving “next-generation” DNA sequencing technologies now allow for the routine sequencing of entire genomes and transcriptomes, or of virtually any targeted set of DNA or RNA molecules.
The exponential explosion of genomic data fueled by these technologies presents an unprecedented opportunity to elucidate the molecular underpinnings of natural variation and human disease, but the sheer abundance and complexity of these data also pose significant and unsolved bioinformatic challenges. The scope of these opportunities and challenges promises to revolutionize biology and medicine.
Identify and target key genomic and epigenomic drivers in cancer
Molecular Mechanisms of Transcriptional Regulation
Physical Modeling of Microarray Hybridization; Analysis of Genomic Tiling Array Data; Bioinformatics; Computational Biology; Regulatory Networks
Regulation of gene expression during lymphocyte development
Epigenetic and genetic mechanisms underlying metabolic disease
Natural Killer Cells, Viral Immunity, Genetic basis of host resistance to viral infection, Tumor immunity, Immune cell regulation
Statistical genetics and genomics.
Systems Genetics Approaches to Understand Cardiometabolic Traits
Genomic Instability in Cancer Cells; Noncoding RNAs in differentiation and cancer; Bioinformatics of cancer outcome
Systems Genetics of Skeletal Development and Maintenance
Clinical Chemistry and Toxicology. Medical Automation Research. Neurotransmitters, cell surface receptors and intracellular second messengers.
Acute Myeloid Leukemia: molecular and cellular biology events which mediate aberrant epigenetic and transcriptional mechanisms during disease establishment and progression
Molecular embryology--gene regulation in cells committed to specific developmental lineages
Transcription, Chromatin, Cancer, Molecular Biology, Genomics, and Computational Biology
Mechanisms of Genetic and Metabolic Adaptation in the Malaria Parasite, Plasmodium falciparum
Novel antiprotozoan and anticancer compounds from antibiotic-resistant bacteria
Healing after myocardial infarction, cardiac growth and remodeling, and image-based modeling and diagnosis.
Systems-biology approaches to cancer biology and virology.
Regulation of stem cell function and tumorigenesis by epigenetics and biomolecular condensation (phase separation)
Physical mechanisms of infectious disease; influenza infection; membrane fusion; antibiotic resistance; molecular dynamics simulation; machine learning.
Bacterial cell signaling, host-pathogen interactions, intestinal pathogens
The role of glia in the development, maintenance and regeneration of the nervous system
Gene regulation in cancer, RNA processing; Epigenetic modification; Stem cell and development
Hematologic malignancies; bone marrow disorders; leukemia; large granular lymphocyte (LGL)
Statistical Genetics, Genetic Epidemiology, Biostatistics, Network analysis
The Cause and Consequence of Somatic Mosaicism in Neurons
Genetic variation, Complex diseases, Coronary artery disease, Genomics, Epigenomics, Regulatory mechanisms, Vascular biology, Pharmacology and Physiology
Structure-Function Relationships in Macromolecules; Infectious Diseases and Drug Discovery; Bioinformatics and Big Data; Scientific Reproducibility
Structure, function & evolution of RNA-processing assemblies; structural and computational biology; molecular biophysics
Regulation and function of tyrosine phosphorylation in complex networks
Obesity and Aging
Systems biology, infectious disease, cancer, toxicology, metabolic engineering
Developmental Genetics, Evolution and Regeneration of Adult Morphology in Vertebrates
Protein Evolution; Computational Biology
Genomics, Molecular Evolution, Algorithm Design and Analysis
Human Immunodeficiency; Virus Gene Expression
Genetic basis of common human disease, including type 1 diabetes, diabetic complications, ischemic stroke, atherosclerosis
computational biology & bioinformatics; high performance computing; epigenomics & chromatin; pediatric cancer; computational regulatory genomics; machine learning
Genome instability in cancer and repeat expansion diseases
Bioinformatics methodology development; Epigenetics and chromatin biology; Transcriptional regulation; Cancer genomics and epigenomics; Statistical methods for biomedical data integration; Theoretical and computational biophysics
Single Cell Analysis