HOW CAN WE HELP YOU? Call 1-800-TRY-CHOP
Center for Computational and Genomic Medicine
The Center for Computational and Genomic Medicine, established in 2018 with the recruitment of Yi Xing, PhD, drives biological discoveries and medical innovations by integrating genomics, big data, and computing. The Center contributes to CHOP's entire ecosystem of research, including collaborations with other key Centers of Emphasis, including the Center for Cellular and Molecular Therapeutics and the Department of Biomedical and Health Informatics.
The Center provides an intellectual home for recruiting tenure track faculty who are not only adept at using existing technology, but also can develop new genomic technologies or computational tools that can be offered to a broader community of scientists. The Center has hybrid character — computational biology research will pave the way for new projects in wet laboratories.
Under Dr. Xing's direction, the Center aims to serve as an engine for technological and biomedical innovation, providing tight interaction from both the basic science and technology side, as well as the translational and clinical side of genomics and computational biology.
The Computational Epigenetics Lab develops novel algorithms and big data analytics to understand epigenetic cell identity and its dynamics in cell fate transition, organismal development, and human disease.
The Mechanistic Molecular Immunology Lab integrates cutting-edge structural biology and biochemistry tools with functional immunoassays to understand the molecular basis of immune responses to viral infections and tumors, with an emphasis on the development of novel protein-based therapeutics.
The Mir Lab develops and applies advanced fluorescence microscopy and single molecule imaging methods to study the dynamics of nuclear organization and transcriptional regulation during early embryonic development.
The Xing Lab is focused on computational and genomic medicine, and integrating genomic, big data, and computing to drive the medical innovations of tomorrow. The long-term goal of our research is to elucidate alternative isoform complexity in mammalian transcriptomes and proteomes.
The Lin Lab studies RNA modifications (a.k.a "epitranscriptomics") in human diseases, including cancer. Post-transcriptional RNA processing and modifications are important mechanisms for gene regulation and functional diversity in eukaryotic cells.