Project details
Real time PCR primer/probe sensitivity/specificity analysis
Company: Lawrence Livermore National Laboratory / DHS
Period: 2007 - 2007
Duration: 16 weeks (full-time equivalent)
Developed an automated system for predicting the sensitivity and specificity of real-time PCR primer/probe combinations. The system identifies predicted matches found in public sequence databases and compares these with the assay’s target. Web interface built in Perl/CGI. Backend uses MySQL.
About me
Senior Software Developer at University of Utah
My skills
- JavaScript
- Java
- Python
- C++
- jQuery
- Machine Learning
- Bioinformatics
- Computational Biology
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 2014 - Current (2.0 years FTE)
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 Developed an automated system for predicting the sensitivity and specificity of real-time PCR primer/probe combinations. The system identifies predicted matches found in public sequence databases and compares these with the assay’s target. Web interface built in Perl/CGI. Backend uses MySQL. 
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 2013 - 2014 (1.2 years FTE)
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 2008 - 2013 (5.8 years FTE)
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 Developed an automated system for predicting the sensitivity and specificity of real-time PCR primer/probe combinations. The system identifies predicted matches found in public sequence databases and compares these with the assay’s target. Web interface built in Perl/CGI. Backend uses MySQL. 
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              Real time PCR primer/probe sensitivity/specificity analysis
            
            
              (click to see)
            
            
            
 2007 - 2007 (16 weeks FTE)
 Client: Lawrence Livermore National Laboratory / DHS
 Industry: Science
 Developed an automated system for predicting the sensitivity and specificity of real-time PCR primer/probe combinations. The system identifies predicted matches found in public sequence databases and compares these with the assay’s target. Web interface built in Perl/CGI. Backend uses MySQL. 
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 2006 - 2006 (20 weeks FTE)
 Client: Lawrence Livermore National Laboratory
 Industry: Science
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 Developed an automated system for predicting the sensitivity and specificity of real-time PCR primer/probe combinations. The system identifies predicted matches found in public sequence databases and compares these with the assay’s target. Web interface built in Perl/CGI. Backend uses MySQL. 






