DEVELOPMENT OF COMPUTATIONAL METHODS

In addition to computationally supporting the development of genomic technologies, we are developing new computational algorithms and software tools for large scale clinical studies of the genomics, proteomics, and metabolomics of human disease.

SYSTEMATIC INFLAMMATION OF HUMANS

Inflammation and the Host Response to Injury is a large-scale collaborative research program supported by the National Institute of General Medical Sciences, a division of the National Institute of Health. Following are the principal data resources of the TRDB.

COMPUTATION FOR TECHNOLOGY DEVELOPMENT

 At Stanford Genome Technology Center, our group is closely involved in the early stage development of genomic technologies, including upstream experimental design, downstream data analysis as well as prototyping of the analysis of raw data. 

WELCOME!

INNOVATION OF COMPUTATIONAL HEALTH CENTER

Massachusetts General Hospital, Harvard Medical School

The research of our computational genomics group at Massachusetts General Hospital, Harvard Medical School aims at pushing the boundaries of genomics technology from base pairs to bedside. At the Center, our group is closely involved in the development of bio techniques from their early stage pilot studies to the demonstration applications. We use computation in experimental design, data analysis, trouble shooting, and improving the performance of the technology. The major bottleneck of genomic medicine is to a large extent no longer data generation but the analysis and interpretation of ‘big data’ acquired in patient studies. We develop computational, bioinformatic, and statistical approaches to addressing the challenges in large scale clinical studies of the genomics, proteomics and metabolomics of disease. In particular, we focus on human systems biology of inflammation, which is the most common condition of human disease, by integrative analysis and modeling of the molecular, cellular, organ functional, and clinical information from patients. Below please find additional information on our research projects. For further inquiries, please contact Dr. Wenzhong Xiao at wenzhong.xiao AT mgh.harvard.edu.

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HAPPENING RIGHT NOW

our ongoing projects

Digital Health

Histocompatibility and Immunogenetics by NGS

Species Inspired Research in Tolerance

Rare Disease

Systems Biology of ME/CFS

Human Immune Response to Injury and Infections

Modeling Metabolism for Precision Medicine

RECENT EVENT

In addition to computationally supporting the development of genomic technologies, we are developing new computational algorithms and software tools for large scale clinical studies of the genomics, proteomics, and metabolomics of human disease. A few examples include alternative splicing analysis of genomic data computational methods for mass spectrometry proteomics data, evolution modeling of immune repertoire sequencing data, and multivariate survival analysis of clinical outcome data. 

About Us

The Computational Biology Group at Massachusetts General Hospital, Harvard Medical School is headed by Dr. Wenzhong Xiao. For detailed information about the group’s projects please contact him at wenzhong.xiao AT mgh.harvard.edu.