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David A. Stiles


Microarray Technical Laboratory Skills:

  • Development, Design and Application of Standard Operating Procedures for Microarray based Comparative Gene Expression Experiment.

  • Designing and Performance Experience with GE Heath Care CodeLinkTM Based Microarray Experiments.


Real-Time PCR Technical Laboratory Skills:

  • Experimental Design of Real-Time PCR Based Gene Expression Experiments.
  • Validation of Microarray Gene Expression Results using Real-Time PCR.

  • Development, Design and Application of Standard Operating Procedures for Real-Time PCR based Gene Expression Experiments.

  • Core Laboratory Real-Time PCR Automation Development Experience.


General Laboratory Technical Skills:

  • Experience with Genomics Technology Research, Development, and Application in a Core Facility Laboratory.

  • Basic Biomedical Research Experience.

  • Laboratory Safety Training.


Microarray Computational Laboratory Technical Skills:

  • CodeLink TM and Two channel cDNA Microarray Data Analysis Experience.

  • Expertise with CodeLinkTM and Two channel cDNA Parametric and Non-Parametric Data Normalization Methods.

  • Experience with Parametric and Non-Parametric Statistical Analysis of Microarray Data (t-test, ANOVA, and PCA).

  • Highly Experienced in the use of Microsoft Access and Excel in the Analysis of Microarray Gene Expression Data.


Real-Time PCR Computational Laboratory Technical Skills:

  • Expertise with both the Comparative Ct and Standard Curve Method of Quantifying Differential Gene Expression.

  • Extensive Experience with Parametric and Non-Parametric Statistical Analysis of Real-Time PCR Data.

  • Taqman Real-Time PCR Assay Design.


Bioinformatics Technical Skills:

  • Unix and Linux Shell Scripting Experience.

  • Java, Matlab, Perl and SAS Programming Skills.

  • Working Knowledge of NCBI (ex. BLAST) and UCSC Bioinformatics Resources (ex. BLAT and Genome Viewer).

Select Publication References:

  1. Cam M. C., Stiles D., Sidorov I. A., Nagaev I., Dimitrov D. S., Smith U. and Cushman S. W. Probe-level Significance Testing (PST): an alternative expression analysis algorithm for Affymetrix GeneChip probe level data. (2005) Will be submitted for publication to Bioinformatics.

  2. Vaishali, H., Goldwater, D., Stiles, D., Cam, M. C., Poy, G., Kumari, D., and Usdin, K. Large Fragile X CGG-repeat tracts are toxic to human cells. FEBS Letters 579 (2005) 2702-2708.






Education

  • B.S. in Biological Sciences, Minor in Chemistry, Marshall University, 1999

  • M.A. in Cell Biology, Marshall University, 2001

Computer and Programming Classes

  • Statistical Analysis with R (NIH/Center for Information Technology)

  • Fundamentals of Unix (NIH/Center for Information Technology)

  • MATLAB Fundamentals and Programming Techniques (The MathWorks Training Services)

  • Statistical Methods in MATLAB (The MathWorks Training Services)

  • Basic Perl Programming (NIH/Center for Information Technology)


Biostatistics and Bioinformatics Courses

  • Field Guide to NCBI Molecular Biology Resources (NIH/NCBI)

  • Introduction to Biostatistics STAT 200 (6 Credit Hours)

  • Programming with NCBI BLAST (NIH/NCBI)

  • GeneSpring Microarray Data Analysis Workshop (Agilent Technologies)


Biotechnology and Lab Safety Courses

  • DNA Microarray: Fabrication and Application (2 Credit Hours)

  • Introduction to Laboratory Safety

  • Laboratory Safety at the National Institutes of Health




























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