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Register by February
9th and save up to $200!
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Sunday, March 18
Pre-Conference Short Course Tutorials*
1:30-2:00 Pre-Conference Short Course Tutorial Registration
2:00-5:00 Short Course One
Statistical Analysis of Real-time PCR Data
Instructor: Joshua S. Yuan, M.S., Ph.D. Candidate, Genomics Scientist, The UTIA Genomics Hub, The University of Tennessee, Knoxville
Real-time PCR has been broadly applied in biomedical sciences, especially for high-throughput gene expression studies and functional genomics data confirmation. However, the accuracy and reproducibility of the technology has become a major concern of the scientific community. Proper data analysis is the key to the precise quantification and accurate interpretation of the real-time PCR data. In many publications for transcriptome studies, the data processing procedures for the analysis of quantitative real-time PCR are still lacking, specifically in the realm of appropriate statistical treatment. Confidence interval and statistical significance considerations are not explicit in many of the current data analysis approaches. The tutorial’s purpose is to enable end-users to:
- better understand the mathematical attributes of the real-time PCR data,
- obtain basic concepts of statistics relevant to real-time PCR data analysis,
- be aware of the recent advancements in statistical modeling and analysis of real-time PCR data,
- be able to obtain high-quality results with proper statistical estimations,
- be familiar with the practical programs and software based on statistical models
- perform efficiency adjusted data analysis when low amplification efficiency occurs,
- recognize the standards for real-time PCR data analysis procedures.
Who should attend?
Researchers, core directors, clinicians, post-docs and students interested in gene expression studies or real-time PCR will learn about important aspects and recent developments of real-time PCR statistical analysis. The tutorial is designed for the biologists as well as the bioinformaticians and statisticians interested in processing molecular biology data. An introductory knowledge of statistics will be helpful, yet is not required.
Why Attend?
Scientists and editors alike are realizing that inappropriate data processing and statistical analysis of genomics in general and real-time PCR data specifically can lead to faulty conclusions. End-users eagerly desire biologically correct interpretations and their papers published! Statistical analysis of real-time PCR data has been declared “a new challenge in gene quantification analysis.” The tutorial provides a practical and comprehensive introduction to common statistical models and programs used for real-time PCR data analysis.
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2:00-5:00 Short Course Two
| Getting the Most out of Your qPCR Experiments |
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Instructors:
Jon Miyake, Ph.D., Genomics Field Application Specialist, Bio-Rad Laboratories
Spontaneous Russell, Ph.D., Senior Marketing Manager, Gene Expression, Bio-Rad Laboratories
Hilary Srere, Ph.D., Marketing Manager, Gene Expression, Bio-Rad Laboratories
Agenda:
1. Review of critical assay design parameters
2. Optimization of assay performance
3. Troubleshooting: Contamination Primer Dimers
Efficiency/ Reproducibility/ Sensitivity
4. Analysis Considerations: Gene Expression
This will be an interactive workshop - attendees are encouraged to bring data files and problem examples with them.
Who Should Attend & Why
All levels of qPCR users are encouraged to participate, you will learn good laboratory practices to help you optimize your qPCR assays and effectively troubleshoot your results.
5:00-6:00 Early Registration |
| *Separate Registration Required |
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