Day 5 - Expression Analysis with RNA-seq
Processing mRNA sequencing data and testing for differential expression.
Topics
Working with high-throughput sequencing datasets
- Quality control
Modern DNA and RNA alignment strategies
- Estimating magnitude of gene expression
- Normalization options
- e.g. quantile, tmm (trimmed mean of M-values)
Differential expression testing
- Testing for differential expression
- Statistical significance
- Centering strategies
Additional Recommended Reading
- Optional: Revisiting Global Gene Expression Analysis. Cell 151:476 (2012). doi:10.1016/j.cell.2012.10.012
Materials
Notes Exercises SolutionsYou need to be logged into your GitHub account to be able to access materials hosted in the private class repository.
Logistics
Date 19 August 2016
Time 10 am to 12 pm (Instruction) / 1 pm to 2 pm (Intro to Exercises and Q&A) / 4 pm to 5 pm (Q&A)
Room Countway 403
Teaching Staff
Peter Kharchenko (Course Director)
Tiziana Sanavia (Teaching Assistant)