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Ingenuity Pathway Analysis (IPA) Seminar
***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
- Date:
- Monday, June 12, 2023
- Time:
- 10:30am - 3:00pm
- Location:
- Alway M106
- Instructor(s):
- Dr. Araceli Cuellar
- Categories:
- Data Science