Part 1: Exercise on RNA-seq data analysis
Read the per-gene counts table file into R
Create a vector of conditions
Create a ‘DESeqDataSet’ R object
Estimate mean and normalization factors, calculate normalized counts
Estimate dispersion
Practice using R packages edgeR. Report results of your exercises as did above
Part 2: Practice on microarray data analysis
Do Practice 1 to 4 and submit the results.
Requirements
Use R software, consolidate all your questions into a single document and submit it as an R script?
If other software is needed, the code and results generated by the software should also be saved and submitted together.
Complete the task diligently according to the instructions. The link is the data needed. Ensure accuracy
