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Jennings, Steve
Colvin, TJ
Hall, Roger
Williams, Phil
Alvarez, Genice
Byrum, Stephanie
Alusta, Pierre
Reed, Ames
Sontineni, Sreedhar
Ravindrakumar, Vinay
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| Phil Williams |
| Graduate assistant |
| Office |
ETAS 523 |
| Phone |
501.569.8031 |
| Fax |
501.569.8020 |
| Email |
phwilliamsATualr.edu |
| Mail |
UALR
Applied Science/ETAS 575
2801 S. University Ave.
Little Rock, AR 72204 |
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Education |
B.S. in Biology Arkansas State University, 1998 |
M.S. in Applied Science Instrumentation University of Arkansas at Little Rock, 2005 |
M.S. in Bioinformatics University of Arkansas at Little Rock and University Of Arkansas for Medical Sciences, 2005 |
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Teaching Areas |
- Bioinformatics Lecture and lab
- Bioinformatics web resources
- Bio-Visualization
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Research Areas |
Genetic Programming, Perl scripts for bioinformatics, Applying C5 data mining to the classification of ovarian cancer mass spec data
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Biography |
I am interested in the interface between biology and computer science. This area is now recognized as "Bioinformatics". I have an interest in controlling scientific instruments with the computer. As an undergraduate at ASU I met a chemistry professor with a project that required these skills. This gave me the opportunity to teach myself programming using a powerful graphical language called LabVIEW. Here at UALR I studied data structures in C and Motorola assembly language and further developed my LabVIEW skills. I have been interested in genetic programming (Darwinian programming) since finding a book on the subject by John Koza. I also have a strong interest in the field of in-vitro evolution. My current research focuses on applying bioinformatic/data mining techniques to this field. My specific goals are to develop an automated system for in-vitro evolution toward the development of molecular electronics from carbon nanotubes and catalytic DNA (DNAzymes).
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| Resume: http://bioinformatics.ualr.edu/~phil/Resume.html |
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