Event box

***Follow the instruction in the library catalog: https://lane.stanford.edu/view/bib/234731 to request a login before June 2nd  and bring your laptop if you plan on following along for hands-on training (optional)

10:30-12:00pm Using IPA without any data: Mine IPA’s rich database for novel discoveries

Users will learn how to: 

• Leverage public data
• Easily search and open pathway analyses of public data (GEO, SRA, etc.)
• Study biological mechanisms and discover key regulators/drug targets
• Identify gene signatures and key regulators common across datasets
• Edit, expand, modify, and overlay public data on a network for genes, chemicals and diseases of interest
• Study gene or biomarker expression across different tissues, diseases, cell types and more from public sources;

12-12:15pm  Break

12:15-12:45pm   CLC Genomics Workbench Pizza Lunch & Learn  (Pizza will be provided by Qiagen)

Powerful and scalable NGS data analysis for any species, any platform, any workflow

1-3pm    Using IPA with data:  Perform Pathway Analysis on Omic Data, followed by Q&A

Users will earn how to:

• Perform pathway analysis on the user’s data
  • Dataset format, upload, and pathway/core analysis
  • Discover key biological mechanisms, regulators and targets
• Compare user data with public data
  • Analysis Match heatmap
• Compare different groups (time points, treatments, sc clusters etc.)
  • Activity heatmap for pathways, regulators and biological functions
  • Compare contrast activity of pathways, biological functions and regulators
  • Discover condition-specific biomarkers
• Generate network using genes, chemicals, and diseases of interest even without dataset
  • Predict activity of custom network using Molecule Activity Predictor