| EPSRC Reference: |
EP/E027296/1 |
| Title: |
New Algorithmic Techniques for Cancer Informatics |
| Principal Investigator: |
Campbell, Dr I |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Engineering Mathematics |
| Organisation: |
University of Bristol |
| Scheme: |
Standard Research |
| Starts: |
02 April 2007 |
Ends: |
01 April 2010 |
Value (£): |
208,656
|
| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Bioinformatics |
|
| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
|
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
In this project we will use advanced data analysis techniques to uncover new biological insights within cancer research. Some of these new algorithmic methods are of our own invention and some new developments are proposed. These new methods include techniques to search for fusion genes: these are genetic anomalies if which two genetic coding regions are fused to produce a novel chimeric protein which causes cell proliferation. These and other targets may be found using new algorithmic methods which search through the large amounts od adat currently appearing in the biomedical sciences.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.bris.ac.uk |