TESTIMONIALS
Course Modules Print
 3 days Core module.jpg 3 days hands-on qPCR  2 days Core module.jpg 2 days hands-on qPCR  1 day RNA isolation & quality.JPG 1 day Sample preparation
 3 days Biostatistics.jpg 3 days Exp design & data analysis  2 days Biostatistics.jpg 2 days Exp design & data analysis  1 day Biostatistics.JPG 1 day Biostatistics
   2 days Sample preperation.jpg 2 days Sample preparation  1 day Immuno qPCR.jpg 1 day Immuno-qPCR
 
 2 days Expression profiling.jpg 2 days Expression profiling  1 day Multiplex.jpg 1 day Multiplex PCR
     1 day HRM.jpg 1 day HRM
     1 day Biostatistics.JPG 1 day Advanced Biostatistics

3 days hands-on qPCR

3 days Core module.jpg Day 1:
This introductory course consists of a theoretical part and a practical part where participants get to do qPCR experiments by themselves under experienced supervision. The course contains:

  • Basic PCR theory

  • The theory of real-time PCR

  • Applications and possibilities of qPCR. Comparison of qPCR with regular PCR.

  • Review of currently available detection technologies (SYBR Green I, hydrolysis probes, Molecular Beacons...etc)

  • Different instrument platforms and their typical uses

  • Primer design

  • The problem of primer-dimer formation and how to minimize them

  • Probe design

  • Experimental design and optimization

  • Basic data handling and analysis

Day 2:

  • Introduction to quantification principles

  • Quantification strategies, uses and limitations

  • Calculations using different relative quantification methods

  • Strategies for normalization of qPCR data

  • In situ calibration for compensation of inhibition in samples

  • Absolute quantification

Day 3:

  • Sample Preparation (Extraction of RNA and DNA)

  • Principles of RT

  • Priming methods for RT

  • RT optimization

  • The MIQE guidelines
  • Group discussion, bring your own questions


2 days hands-on qPCR  

2 days Core module.jpg Day 1:
This introductory course consists of a theoretical part and a practical part where participants get to do qPCR experiments by themselves under experienced supervision. The course contains:

  • Basic PCR theory

  • The theory of real-time PCR

  • Applications and possibilities of qPCR. Comparison of qPCR with regular PCR.

  • Review of currently available detection technologies (SYBR Green I, hydrolysis probes, Molecular Beacons...etc)

  • Different instrument platforms and their typical uses

  • Primer design

  • The problem of primer-dimer formation and how to minimize them

  • Probe design

  • Experimental design and optimization

  • Basic data handling and analysis

Day 2:

  • Introduction to quantification principles

  • Quantification strategies, uses and limitations

  • Calculations using different relative quantification methods

  • Strategies for normalization of qPCR data

  • In situ calibration for compensation of inhibition in samples

  • Absolute quantification


3 days Experimental design and statistical data analysis for qPCR

3 days Biostatistics.jpg This is a comprehensive course teaching the basics of statistics including the most common methods to analyze univariate as well as multivariate qPCR. The course includes extensive computer based exercises.

Day 1- Real-time PCR experimental design and basic data processing

  • Basic Principles of statistics, Descriptive statistics (arithmetic and geometric mean, standard deviation, coefficient of variation, standard error, confidence interval)

  • Experimental design (two groups with and without control, repeated measures design, trend studies, nested designs)

  • Absolute quantification, standard curve, runs test, outlier test, reverse calibration, limit of detection • Exercise

Day 2 - Statistical analysis of real-time PCR data

  • Advanced principles of statistics, Gaussian distribution, z-score, central limit theorem, null hypothesis, p-value,

  • Statistical tests, t-test, Mann-Whitney’s test, randomization test, paired t-test, Wilcoxon’s test, ANOVA

  • Type I and type II errors, Power to detect a difference (Power test), Clinical sensitivity, clinical specificity

  • Variance contributions, confounding factors, nested ANOVA, qPCR experimental design, cost-performance optimization, Cq v.s. DCq

  • Exploratory vs. confirmatory study, hypothesis, variables, qPCR data pre-processing, relative quantification

  • Exercises


Day 3 - Gene expression profiling with real-time PCR

  • Multiplate studies, “All-genes”, “All samples”, Inter.plate calibration,

  • Univariate vs multivariate/multiway data, hierarchical clustering, Dendrograms, distance measures, cluster distances, missing data, mean centering, autoscaling, heat map

  • Reference genes, geNorm, Normfinder, accumulated SD, reference genes or total RNA

  • Multi marker classification, Principal Component Analysis, Potential cures, Self Organized Map, matrix augmentation, trilinear decomposition

  • Artificial neural network, classification vs. calibration, Partial Least Squares (PLS)

  • Exercises


2 days Experimental design and statistical data analysis for qPCR

3 days Biostatistics.jpg The two-days course covers the most of the same prinicples as the three-day analysis course but less comprehensive and with less practical excercises

Day 1- Statistical analysis of real-time PCR data

  • Basic principles of statistics

  • Advanced principles of statistics

  • Statistical tests

  • Ability to detect a difference

Day 2- Gene expression profiling with real-time PCR

  • Multiplate measurements

  • Standard curves and absolute quantification

  • Experimental design, Selecting reference genes

  • Relative quantification, Comparison of groups

  • Expression profiling 


1 day Biostatistics 

1 day Biostatistics.JPG This course explains statistics applicable to qPCR and teaches how to use statistics to interpret real-time PCR gene expression data, and classify samples based on real-time PCR expression profiling. The course is based on seminars and computer-based demonstrations. During the course you will learn:

How to calculate mean, standard deviation (of sample and population), coefficient of variation, confidence interval, P-value.

  • How to compare a group of samples with a mean (simple t-test), to compare two groups of samples (unpaired t-test), and group of samples before and after treatment (paired t-test)

  • How to compare three or more groups (one way ANOVA), and groups of samples measured before, during and after treatment (repeated measures ANOVA)

  • How to study the effect of treatment (linear regression)

  • How to compare samples that are not from a Gaussian population (Wilcoxon test, Mann-Whitney test)

  • How to visualize and interpret real-time PCR expression data of many genes in many samples (principal component analysis)

  • How to identify related samples based on real-time PCR expression profiling (Hierarchical clustering)

  • How to find response profiles describing samples studied by real-time PCR expression profiling (self-organizing maps)

  • How to design real-time PCR expression studies (experimental design)

     

 

1 day Advanced biostatistics 

1 day Biostatistics.JPG To take full advantage of the great sensitivity and high accuracy of qPCR it is important to design the experiments properly including using proper controls and standards, and then evaluate the data adequately to separate the biological information from the experimental noise and inter subject variation. This course teaches how to get the most out of qPCR measurements in terms of biological information. It is targeting qPCR users that already knows the basics of qPCR and are also familiar with the basics of statistics. The course covers:

  • Introduction to qPCR theory, DCq and DDCq

  • Absolute quantification, qPCR standard curve, Reverse calibration, Limit of detection

  • Experimental design, Noise contributions to RT-qPCR analysis (nested ANOVA), cost-performance optimization of experiments

  • Sample size estimations (Power testing), Selecting reference genes (geNorm, Normfinder)

  • Relative quantification, qPCR data pre-processing, Outlier detection. Comparison of groups (parametric and non-parametric methods)

  • Expression profiling, missing data treatment, scaling of data, Un-supervised clustering of genes and samples (hierarchical clustering, self-organized maps, Principal Component Analysis), Supervised clustering of samples (Artificial neural network)

  •  Exercises

 

2 days Sample preparation and quality control of nucleic acids

2 days Sample preperation.jpg One of the most important requirements to get good results from qPCR experiments is to have a template of good quality. In most cases this means having an efficient sample preparation. This course module is focused on extraction of RNA and DNA to be used as template in qPCR and reverse transcription reactions. It also includes the important quality control steps needed to asure reliable results. The course covers:

  • Overview of nucleic acid extraction methods

  • How to properly determine the concentration of purified nucleic acids

  • RNA extraction from blood
  • Extraction from limited amount of material and single cells

  • Storage of biological samples and purified nucleic acids

  • Quality control of purified material

  • Integrity of purified RNA

  • How to test for the presence of inhibitors

  • Troubleshooting


1 day Sample preparation

1 day RNA isolation & quality.JPG One of the most important requirements to get good results from qPCR experiments is to have a template of good quality. In most cases this means having an efficient sample preparation. This course module is focused on extraction of RNA and DNA to be used as template in qPCR and reverse transcription reactions. It also includes the important quality control steps needed to asure reliable results. The course covers:

  • Overview of nucleic acid extraction methods

  • How to properly determine the concentration of purified nucleic acids

  • Storage of biological samples and purified nucleic acids

  • Quality control of purified material

  • Integrity of purified RNA

  • How to test for the presence of inhibitors.

 

2 days Expression profiling

2 days Expression profiling.jpg Day 1
Experimental design
Lectures cover the design of large expression profiling experiments, including plate design and interplate calibration. Lectures also cover the pre-processing of gene expression profiling data. Hands-on experiments include expression profiling of developing Xenopus laevis (African claw frog). Experiments are performed on conventional 96/384 well plate instruments and also on the BioMark microfluidic platform.

Day 2
Analysis of gene expression profiling data
Lectures cover methods to classify samples and genes based on unsupervised and supervised methods. Unsupervised methods include Principal Component Analysis, Potential Curves, Hierarchical Clustering and Self-Organizing Maps. Also supervised methods are presented in the form of artificial neural networks. Collected data from the previous day are analyzed in hands-on workshops supervised by expert instructors.


1 day Immuno-qPCR

1 day Immuno qPCR.jpg  This course shows how real-time PCR can be used to quantify proteins. The course consists of a theoretical part which explains what immuno-qPCR is and how it can be set up and used. The course also includes a practical part where the course participants will run an immuno-qPCR experiment to quantify a protein. The course covers:

  • Introduction to immunoassays

  • A technology description

  • How to set up an immuno-qPCR assay

  • How to optimize an immuno-qPCR

  • How to analyse immuno-qPCR data

  • Troubleshooting

  • Examples of immuno-qPCR applications

  • Practical experiment quantifying a protein



1 day Multiplex PCR

1 day Multiplex.jpg This is a 1-day course in multiplex PCR with a focus on multiplex real-time PCR. The course consists of a theoretical part and a practical part where participants get to do multiplex qPCR experiments by themselves under experienced supervision. The course contains:

  • Introduction to multiplex PCR

  • Multiplex PCR applications

  • Primer design

  • Instrument, filter set and dye considerations
  • Optimization of multiplex assays

  • Validation of multiplex assays



1 day HRM

1 day HRM.jpg This is an introductory course in HRM, where a high resolved melting curve is used to analyze very small differences in melting temperature of PCR products, differences that can be due to a single base substitution. The course includes seminars as well as hands-on training where the participants get to perform experiments. The course covers: 

  • Introduction to HRM

  • Assay design

  • SNP – analysis

  • Gene scanning

  • Methylation analysis

  • Review of available HRM instruments

  • Examples of other applications



 
Joomla template by DesignForJoomla.com
DesignForJoomla.com provides free Joomla templates, free and commercial Joomla extensions, Joomla tutorials and SEO tips for the Joomla CMS