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Modern techniques for analyzing biological specimens produce large amounts of data describing gene expression, genome sequences, molecular structures, and molecular interactions. We provide consultations on bioinformatics and computational biology, which utilizes computational tools to manage and analyze biological data, leading to better understanding of living systems ultimately improving human health.
High-Throughput Omics Data Analysis
- DNAseq data processing and analysis
- RNAseq data processing and analysis
- Non-coding RNA data processing and analysis
- Proteomics data analysis
- Metabolomics data analysis
Differential Expression and Abundance Analyses
- Abundance Analysis on epigenomics, genomics, transcriptomics, proteomics, and especially metabolomics data
Single Cell Analysis
- Single-cell RNAseq cell trajectory analysis
Structural Biology and Computational Drug Discovery
- Protein modeling and simulations
- Virtual high-throughput drug binding screens
Service Providers:
V. K. Cody Bumgardner, PhD
Assistant Professor, Department of Pathology & Laboratory Medicine
Director, Pathology & Laboratory Medicine Informatics
Specialities: Secure data collection, processing, and reporting of omic pipelines using multi-cloud operations in clinical and research settings
Jin Chen, PhD
Associate Professor of Biomedical Informatics
Specialities: RNAseq, microRNAseq, single-cell RNAseq, gene enrichment test
Qiang (Shawn) Cheng, PhD
Associate Professor, Division of Biomedical Informatics, Department of Internal Medicine
Specialities: DNAseq data analysis
Sally Ellingson, PhD
Assistant Professor of Biomedical Informatics
Specialities: Structural biology and computational drug discovery
Hunter Moseley, PhD
Associate Professor, Department of Molecular and Cellular Biochemistry
Associate Director, Institute for Biomedical Informatics
Informatics Core Director, Resource Center for Stable Isotope-Resolved Metabolomics
Specialities: A range of omics data analyses, especially metabolomics data analyses
