Pathways and Network Analysis of -Omics Data 2018

Welcome

Welcome to Pathways and Network Analysis of -Omics Data 2018.

The course schedule can be found here.

Pre-readings, pre-work, and laptop setup instructions can be found here.

We are using Google Classroom for discussion. Join the Class at https://classroom.google.com, select the “+” symbol in the upper right corner, click on “Join Class” and enter the class code provided to you.

The full course notes are available as a single PDF.


Class photo

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Day 1

Welcome

Ann Meyer

Module 1: Introduction to Pathway and Network Analysis

Gary Bader

Lecture

Recording

Module 2 Finding Over-Represented Pathways

Veronique Voisin

Lecture

Recording

Introduction to practical lab

Lab practical part 1 (g:Profiler)

Lab practical part 2 (GSEA)

Module 3: Network Visualization and Analysis with Cytoscape

Gary Bader

Lecture part 1

Lecture part 2

Recording

Veronique Voisin

Lab practical part 1

Lab practical part 2

Day 2

Module 4: More Depth on Network and Pathway Analysis

Lincoln Stein and Robin Haw

Lecture

Recording

Lab Lecture

Lab practical

PPT of lab lecture

Module 5: Gene Function Prediction

Sara Mostafavi

Lecture

Recording

Lab practical

Day 3

Module 6: Regulatory Network Analysis

Michael Hoffman

Lecture

Lab lecture

Lab practical

Final Thoughts

Veronique Voisin

Lecture

Tools and workflows

Integrated Assignment

Assignment link

gProfiler file

Assignment answers link

Additional tutorials

EnrichmentMap (GSEA and g:Profiler) step by step protocol: https://www.biorxiv.org/content/early/2017/12/12/232835 and https://github.com/BaderLab/Cytoscape_workflows

Interacting with Cytoscape using CyRest and command lines (for advanced users): https://github.com/cytoscape/cytoscape-automation/blob/master/for-scripters/R/advanced-cancer-networks-and-data-rcy3.Rmd


Thank you for attending the Pathway and Network Analysis of Omics Data workshop! Help us make this workshop better by filling out our survey.