616 Rhodes Hall
Ithaca, NY 14853http://www.biotech.cornell.edu
Last Updated: More than One Year ago
CBSU was founded in 2001 as a computational resource for the Tri-institutional Collaboration among Cornell University, Cornell/Weill Medical College, Rockefeller University, and Memorial Sloan-Kettering Cancer Center, and later become Cornell's core facility for bioinformatics and computational biology. In February 2006 CBSU was chosen to become one of ten Microsoft High-Performance Computing Institutes worldwide. Being a Microsoft HPC Institute enables us to provide more bioinformatics and research support for Cornell community, CBSU also participates in testing and development of new Microsoft HPC software and system solutions like Windows Compute Cluster Server (CCS) . Test version of CCS running on CBSU's newest computer cluster is already linked to some of our web-based applications. Click here for more information on CBSU and Microsoft High-Performance Computing. CBSU is part of Cornell Life Sciences Core Laboratories Center and is hosted at Cornell Center for Advanced Computing.
The Computational Biology Service Unit group provides research, software and hardware support for computational biology applications. Assistance in the design and implementation of computational solutions is also provided. CBSU responsibilities cover a wide variety of topics and tasks, including:
· Computational Resources
One of the major obstacles faced by many biologists is the difficulty of accessing and using state-of-the-art computational biology tools, especially on high performance computing platforms that are required for many tasks. We developed and maintain an extensive suite of computational biology applications on clusters (BioHPC) accessible through simple-to-use, web-based interface. It allows an easy access to our dedicated computational resources.
We collaborate on specific research projects that require expertise in genomics and structural biology. Our expertise in molecular modeling, databases and genomics has already been found helpful by a number of investigators.
· Software Development
We are developing (or modifying) software tools for customized solutions. Since many applications are computationally intensive, we also adapt selected programs to the massively parallel environment.
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