Coronavirus information for Feinberg.

Center for Advanced Molecular Analysis

Generate and analyze high-throughput cellular and omics data for improved diagnostics and treatment.

Most human diseases are associated with certain genetic signatures, either inherited from parents or acquired after birth due to environment or random events. Our goal is to use state-of-the-art technologies to identify such genetic variants in patients, including single-point mutations and large-scale structural variants, and study how they contribute to aberrant gene regulation and human diseases.

Our center will develop novel technologies and computational tools to perform genome-wide analysis of patient genomes. We will profile and integrate personal multi-omics data (such as genomics, transcriptomics and epigenomics) to study human disease at single cell resolution. By combining modern genomic approach and advanced machine learning techniques, we aim to identify disease-specific biomarkers and use them to predict disease risk and clinical outcomes.

We will profile and integrate personal multi-omics data (such as genomics, transcriptomics, epigenomics, etc.) to study human disease at single cell resolution.

Feng Yue, PhD, Director, Center for Advanced Molecular Analysis

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