Our Mission
Creating novel algorithms and knowledge-based tools for the analysis and interpretation of high-throughput molecular biology data.
Our ultimate goal is augmenting the process of biological discovery through the use of advanced computational techniques. , particularly machine learning and knowledge-based approaches applied to high throughput molecular biology data. We create novel algorithms for the analysis and interpretation of gene expression arrays, proteomics, metabonomics, and combinatorial chemistry. We also create tools for building, maintaining and applying knowledge-bases of molecular biology, and for knowledge-driven inference from multiple biological data types. Finally, we are developing and applying natural language processing techniques for information extraction from and management of the biomedical literature.
Current Projects
Full-text annotation
Semantic concept extraction from full text
Knowledge visualization
Open Source Resources
The common goal of all our projects is to provide the biomedical community with freely available resources to aid scientific discovery. Here you will find a links to our resources that have been distibuted.
Many of our resources are available under the umbrella SourceForge project BioNLP. Individual resources provided there are listed in these links:
Software
Data
Links
(This section is under construction.)
CCP lab meetings are held weekly and are open to the public.
Contact Info
Kathy Thomas
Center for Computational Pharmacology
University of Colorado Health Sciences Center
US mail: PO Box 6511, Mail Stop 8303
(Express Delivery: 12801 E. 17th Ave, RC-1 South Rm L18-6101)
Aurora, CO 80045-0511 USA
Phone: +1-303-724-3399
