Cancer research continues to become increasingly data-driven, and many investigative studies at Rutgers Cancer Institute of New Jersey rely upon the analysis of multi-dimensional data sets, high-resolution imaging, next-generation sequencing, and other information-intensive technologies. The Biomedical Informatics Shared Resource addresses these challenges through high-throughput instrumentation, advanced data management systems, machine-learning technologies, high-performance cloud computing environments, and state-of-the-art supercomputing capabilities.
The overarching mission of Biomedical Informatics is to provide leading-edge data acquisition and analysis tools, computational informatics expertise, data analysis, and intensive training to foster advances in research and discovery in investigative oncology. The application of these activities to genomic data from patient samples is enhancing patient care and initiating and sustaining productive collaborations among Rutgers Cancer Institute investigators and throughout the clinical and basic research community.
To optimize the support we provide to our basic, clinical, and population science research programs, Bioinformatics is organized into the following sections:
David Foran, PhD, Director
Hours | Location |
Monday-Friday |
195 Little Albany Street |
If we shared the images with you via Box.com, please download the entire folder (not individual files) as one zip file, UNZIP this file (not individual files inside) to ensure all files and file structure remain intact before opening.
Olympus Olyvia is a free viewer software for our digitized whole slide specimens.
Name | Role | Phone | Location | |
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Wenjin Chen, PhD |
Director, Academic Computing
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chenwe@rutgers.edu
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Ying Chen, PhD |
Manager, Biomedical Informatics
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yc790@rutgers.edu
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Kevin Meehan |
Associate Director Information Technology - Clinical
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meehanke@cinj.rutgers.edu
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