The Computational Core aims to support Joslin research in the design, analysis and biological interpretation of novel experiments involving generation of high-throughput omic data and its integration with clinical data. It also facilitates collaboration between researchers at the Joslin and the extended core of multiple researchers at Boston University, MIT and the I2B2 National Center for Biomedical Computing at Harvard Partners for creating a sustained pipeline of clinically relevant translational and basic diabetes research. A particular emphasis will be made on creating new opportunities to deploy advanced systems biology frameworks and models and integrative genomic, proteomic, metabolomic and imaging analysis.
The Bioinformatics/Computational Biology Service branch will provide basic capabilities to the Joslin Diabetes Center to analyze a wide range of high-throughput data. Housed on-site at the Joslin, the group and associated resources will be available to Joslin investigators and fellows who are either planning high-throughput experiments or need analysis of multi-scale data.
Joslin researchers are engaged in a wide variety of diverse research projects. The broad range of state-of-the-art methods used in these projects requires a diverse set of analysis techniques. The Bioinformatics/Computational Biology Service branch will analyze data from these high-throughput methods. These analyses will include genetic, genomic, epigenomic, metabolomic, and proteomic data. Some of this data will be based on second-generation sequencing technology. This branch will use cutting-edge tools and techniques to rapidly and fully exploit the latest technological methods.
Core PI: Simon Kasif, PhD
Core Coordinator: Jonathan Dreyfuss, PhD
Core Bioinformatician: Hui Pan, PhD
Page last updated: April 25, 2017