Welcome to Computational Biology Service Unit
member of Cornell Life Sciences Core
Laboratories Center
|
Web computing tools developed/hosted at CBSU through easy-to-use web interface | ||||
| LOOPP | MOIL | BLAST (parallel, real-time) | Genome Seq. Alignment | RepeatFinder |
| MrBayes | MDIV | PathogenTracker | iDeCAL | PPDB |
| CLUSTALW (parallel, real-time) | P-HMMER (Pfam) | MKPRF | MODELLER | P-IPRSCAN |
| Drosophila BLAST | URMS | |||
CBSU Microsoft HPC
CBSU bioinformatics support for the
next generation sequencing
CAC Desktop Bioinformatics
Applications for Windows
FTP server
with sequence databases used with CBSU programs (both formatted and fasta)
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.
· Research
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.
We are interested in more collaborations with research groups. A partial list of ongoing projects and collaborations can be found here. To initiate a new project or collaboration please contact us by e-mail or via the Web.