DEVELOPMENT OF COMPUTATIONAL METHODS
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
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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
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Histocompatibility and Immunogenetics by NGS
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Species Inspired Research in Tolerance
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Rare Disease
Systems Biology of ME/CFS
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Human Immune Response to Injury and Infections
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Modeling Metabolism for Precision Medicine
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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.
Recent Posts
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.