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NameEmailPhD ProgramResearch InterestPublications
Schrider, Daniel
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Bioinformatics, Computational Biology, Evolutionary Biology, Genetics, Genomics

The Schrider Lab develops and applies computational tools to use population genetic datasets to make inferences about evolutionary history. Our research areas include but are not limited to: characterizing the effects natural selection on genetic variation within species, identifying genes responsible for recent adaptation, detecting genomic copy number variants and other weird types of mutations, and adapting machine learning tools for application to questions in population genetics and evolution. Study organisms include humans, the fruit fly Drosophila melanogaster and its relatives, and the malaria vector mosquito Anopheles gambiae.

Hoadley, Katherine A.
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Genetics, Genomics

My research interest is in genomic characterization and integrative genomic approaches to better understand cancer. My group is part of the NCI Genome Data Analysis Center focused on RNA expression analysis. We have a number of ongoing projects including developing molecular classifications for potential clinical utility, developing methods for deconvolution to understand bulk tissue heterogeneity, analysis of driver negative cancers, and analysis of ancestry markers with cancer features.

Jiang, Yuchao
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Genomics

Dr Jiang’s primary research interests lie in statistical modeling, method development and data analysis in genetics and genomics. His current research is focused on developing statistical methods and computational algorithms to better utilize and analyze different types of next-generation sequencing data under various setting, with application to data from large-scale cohort studies of human health and disease. Special focus is on single-cell transcriptomics, single-cell epigenomics, cancer genomics, tumor phylogeny, data normalization, and copy number variation detection.

Ward-Caviness, Cavin
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Toxicology

RESEARCH INTEREST
Bioinformatics, Computational Biology, Genomics, Systems Biology, Translational Medicine

We are actively engaged in multiple research arenas centered around understanding the associations between environmental exposures (primarily air pollution) and health outcomes. We use large clinical cohorts and electronic health records to understand associations between air pollution and health outcomes such as cardiovascular disease, metabolic disease, and aging. We use metabolomics and epigenetic data (primarily DNA methylation) to investigate molecular mechanisms, and highlight the integration of ‘omics data in a systems biology framework to better understand dysregulated pathways. Finally, we have projects centered around methods development and causal analyses to improve our understanding of the biology central to environmental health effects.

Wang, Greg Gang
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Biochemistry & Biophysics, Genetics & Molecular Biology

RESEARCH INTEREST
Biochemistry, Cancer Biology, Developmental Biology, Genomics, Molecular Biology

With an emphasis on chromatin biology and cancer epigenetics, our group focuses on mechanistic understandings of how chemical modifications of chromatin define distinct patterns of human genome, control gene expression, and regulate cell proliferation versus differentiation during development, and how their deregulations lead to oncogenesis. Multiple on-going projects employ modern biological technologies to: 1) biochemically isolate and characterize novel factors that bind to histone methylation on chromatin, 2) examine the role of epigenetic factors (chromatin-modifying enzymes and chromatin-associated factors) during development and tumorigenesis using mouse knockout models, 3) analyze epigenomic and transcriptome alternation in cancer versus normal cells utilizing next-generation sequencing technologies, 4) identify novel oncogenic or tumor suppressor genes associated with leukemia and lymphoma using shRNA library-based screening. We are also working together with UNC Center of Drug Discovery to develop small-molecule inhibitors for chromatin-associated factors as novel targeted cancer therapies.

Wu, Di
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Genomics, Translational Medicine

Our group develops novel statistical bioinformatics tools and applies them in biomedical research to help understanding the precision medicine for cancer (e.g., breast cancer and lung cancer) subtypes, the disease associated integrative pathways across multiple genomic regulatory levels, and the genetics based drug repurposing mechanisms. Our recent focus includes pathway analysis, microbiome data analysis, data integration and electronica medical records (EMR). Our application fields include cancer, stem cell, autoimmune disease and oral biology. In the past, we have developed gene set testing methods with high citations, in the empirical Bayesian framework, to take care of small complex design and genewise correlation structure. These have been widely used in the microarray and RNAseq based gene expression analysis. Contamination detection for data analysis for Target DNA sequencing is work in progress. Recently, we also work on single cell sequencing data for pathway analysis with the local collaborators.

Furey, Terry
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Computational Biology, Genomics, Immunology, Molecular Biology, Systems Biology, Translational Medicine

The Furey Lab is interested in understanding gene regulation processes in specific cell types, especially with respect to complex phenotypes, and the effect of genetic and environmental variation on gene regulation. We have explored these computationally by concentrating on the analysis of genome-wide open chromatin data generated from high-throughput sequencing experiments; and the development of statistical methods and computational tools to investigate underlying genetic and biological mechanisms of complex phenotypes. Our current projects include determining the molecular effects of exposure to ozone on chromatin, gene regulation, and gene expression in alveolar (lung) macrophages of genetically diverse mouse strains. We are also exploring genetics, chromatin, transcriptional, and microbial changes in inflammatory bowel diseases to identify biomarkers of disease onset, severity, and progression.

Duronio, Bob
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Biology, Genetics & Molecular Biology

RESEARCH INTEREST
Cancer Biology, Cell Biology, Developmental Biology, Genetics, Genomics, Molecular Biology

My lab studies how cell proliferation is controlled during animal development, with a focus on the genetic and epigenetic mechanisms that regulate DNA replication and gene expression throughout the cell cycle. Many of the genes and signaling pathways that we study are frequently mutated in human cancers. Our current research efforts are divided into three areas:  1) Plasticity of cell cycle control during development  2) Histone mRNA biosynthesis and nuclear body function  3) Epigenetic control of genome replication and function.

Dohlman, Henrik
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Biochemistry & Biophysics, Bioinformatics & Computational Biology, Pharmacology

RESEARCH INTEREST
Biochemistry, Cell Signaling, Genomics, Pharmacology, Systems Biology

We use an integrated approach (genomics, proteomics, computational biology) to study the molecular mechanisms of hormone and drug desensitization. Our current focus is on RGS proteins (regulators of G protein signaling) and post-translational modifications including ubiquitination and phosphorylation.

Dittmer, Dirk
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology, Microbiology & Immunology

RESEARCH INTEREST
Cancer Biology, Genomics, Pathogenesis & Infection, Translational Medicine, Virology

Our lab tries to understand viral pathogenesis. To do so, we work with two very different viruses – West Nile Virus (WNV) and Kaposi¹s sarcoma-associated herpesvirus (KSHV/HHV-8).