Bio-Rad Academy: Gene Expression Courses
Learn the principles of RT-qPCR and gene expression, from RNA sample preparation through experimental design, assay optimization and expression data analysis.
Learning areas include:
- Introduction to RT-qPCR and Gene Expression
- RNA Sample Preparation
- Experimental Design and Assay Optimization
- Gene Expression Analysis
-
Fundamentals of RT-qPCR Course 1: Introduction to RT-qPCR and Gene Expression
Course5.0 average rating (22 reviews)Learn about DNA structure and the polymerase chain reaction, reagents and conditions considerations for DNA amplification during qPCR, theory of fluorescence detection during qPCR, and how to understand the shape and parts of an amplification curve.
Free
-
Fundamentals of RT-qPCR Course 2: RNA Sample Preparation Considerations
Course4.8 average rating (6 reviews)Learn about RNA function, diversity, and key characteristics. This course will also give you an understanding of RNA isolation methods and precautions, cDNA synthesis, and RNA quantification and quality methods.
Free
-
Fundamentals of RT-qPCR Course 3: Experimental Design for Gene Expression by RT-qPCR
Course5.0 average rating (1 review)Learn how to select the right controls and review considerations for designing primers and probes. Additionally, this course will cover biological and technical replicates.
Free
-
Fundamentals of RT-qPCR Course 4: Assay Optimization for RT-qPCR
Course5.0 average rating (1 review)Learn about the importance of optimizing and validating, and how to get started. This course will cover important steps and considerations for optimizing multiplex assays.
Free
-
Fundamentals of RT-qPCR Course 5: Gene Expression Analysis by RT-qPCR
Course5.0 average rating (3 reviews)This course will give you an overview of gene expression analysis, the steps for checking data suitability for analysis, how to calculate gene expression, standard deviation, and standard error from the mean.
Free
-
Fundamentals of RT-qPCR Course 6: Gene Expression Using Digital PCR
Course5.0 average rating (4 reviews)This chapter focuses on Gene Expression and covers ddPCR assay design, migration of assays onto ddPCR, reverse transcription, multiplexing and normalization considerations, and describes best practices in data analysis in relation to gene expression.
Free