Workshop Schedule

Day 1

Time Topic Instructor
09:00 - 09:30 Workshop Introduction Radhika
09:30 - 10:10 Introduction to R and RStudio Radhika
10:10 - 10:45 R Syntax and Data Structure Mary
10:45 - 11:00 Break  
11:00 - 11:40 R Syntax and Data Structure (contd.) Mary
11:40 - 12:10 Functions and Arguments Meeta
12:10 - 13:10 Lunch  
13:10 - 13:45 Packages and Libraries Meeta
13:45 - 14:45 Data Wrangling: Subsetting Vectors and Factors Radhika
14:45 - 15:00 Break  
15:00 - 16:15 Data Wrangling: Subsetting Data Frames, Matrices, and Lists Mary
16:15 - 17:00 Matching and Reordering Meeta

Homework: Package installations for days 2 & 3

Day 2

Time Topic Instructor
09:00 - 09:30 Refresher Meeta
09:30 - 10:30 Matching and Reordering (contd.) Mary
10:30 - 10:40 Break  
10:40 - 11:45 Data Visualization with R Radhika
11:45 - 12:30 Tidyverse Meeta
12:30 - 13:30 Lunch  
13:30 - 14:30 Overview of DGE Analysis Workflow Meeta
14:30 - 15:15 Setting up for DGE Analysis: Count Normalization Radhika
15:15 - 15:30 Break  
15:30 - 17:00 Setting up for DGE Analysis: Count Data QC Mary

Day 3

Time Topic Instructor
09:00 - 10:00 Overview of DESeq2 Methods Mary
10:00 - 10:15 Break  
10:15 - 11:00 DGE Analysis: Pairwise Comparisons (Wald Test) Meeta
11:00 - 12:15 DGE Results Summarization and Visualization Radhika
12:15 - 12:30 DGE Workflow Summary Mary
12:30 - 13:30 Lunch  
13:30 - 14:30 DGE Analysis: Complex Experimental Designs (LRT) Meeta
14:30 - 15:00 Functional Analysis Radhika
15:00 - 15:15 Break  
15:15 - 16:30 Functional Analysis (contd.) Mary
16:30 - 17:00 Wrap up Radhika

Note: Some links are specific to files from recent workshops, and may or may not be active.