Lectures

15 August 2016 in Countway 403
Day 1 - Introduction to R
Getting started with R programming using RStudio.

16 August 2016 in Countway 403 (morning) and Countway 424 (afternoon)
Day 2 - Introduction to GitHub, Correlation, and Basic Clustering
Managing source code and first steps towards data analysis.

17 August 2016 in Countway 403
Day 3 - Advanced Data Structures and Recursion
Introduction to lists, trees, and graphs and alignment approaches.

18 August 2016 in Countway 403 (morning) and Countway 506 - Minot Room (afternoon)
Day 4 - Introduction to Unix, HPC, and Linear Algebra
Working in a high-performance computing environment and applying linear algebra approaches for data analysis.

19 August 2016 in Countway 403
Day 5 - Expression Analysis with RNA-seq
Processing mRNA sequencing data and testing for differential expression.

22 August 2016 in Countway 403
Day 6 - Clustering
A review of clustering approaches and interpretation of clustering results.

23 August 2016 in Countway 403
Day 7 - Gene Correlation Networks
Introduction to biological networks and approaches for network analysis.

24 August 2016 in Countway 403
Day 8 - Classification
Basic approaches for and common challenges encountered with classification.

25 August 2016 in Countway 403
Day 9 - Visualization
Principles of data visualization and how to implement them using R.

26 August 2016 in Countway 403
Day 10 - Gene Set Enrichment and Pathways
Fundamentals of gene set enrichment testing and gene sets analysis tools.