The quantitative real-time PCR workshop will provide attendees a comprehensive overview of real-time PCR including data analysis and statistics.
The workshop is organized in modules:
Module 1: basic course showing the theory of qPCR:
- Traditional PCR vs qPCR
- Detection methods: TaqMan, SYBR
- Commonly used terms in qPCR
- Study design: RNA isolation, cDNA synthesis, qPCR, reference genes
- Quality checks on raw data: check amplification curves, melt curves, non template controls, standards / efficiency value
Module 2: advanced course including data analysis
- Quality checks on raw data
- Theory of DataAnalysis
- Absolut/relative Quantification
- ddCq-methods; efficiency correction
- Calculation using interplate calibrator
- Data preparation for statisticsTroubleshooting
Module 3: statistics basics (Module 2 is mandatory for Module 3)
- Introduction into SPSS environment
- Import dataHandling missing values
- Imputation methodsOutlier diagnostics
- Descriptive StatisticsExplorative data analysis
Module 4: statistics advanced (Module 2 and Module 3 are mandatory for Module 4)
- Differential expression analysis for two independent groups
- Differential expression analysis for three or more independent groupsDifferential expression analysis for two time points
- Differential expression analysis for three or more time points
- Adjusting p-values in cases of multiple hypothesis testing
- Data visualization
