It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Full day hands-on training on both the basic and advanced uses of IPA. You will learn how to interpret gene expression data: understanding the pathway involvement, effected bioliogcal processes, causal regulators and their directional effect on genes.
Time: May 28, 2015
Place: Aresty Auditorium, HSC
Lunch will be provided. Registration is mandatory.
9 am to 2:30pm - IPA Hands-on Training (lunch will be provided)
IPA Core Analysis
Data Format & Upload
Launching an Analysis in IPA
IPA Suite of Analytical Tools for Biological Interpretation
Canonical Pathways: Predicts pathways that are changing based on gene expression
Downstream Analysis: Identify whether significant downstream biological processes are increased or decreased based on gene expression results.
Upstream Analytics: Predict upstream molecules, including microRNA and transcription factors, which may be causing the observed gene expression changes.
Comparison Analysis: Quickly visualize trends and similarities across analyses
Tools for Building Pathways
3pm to 4 pm - IPA New Advanced Capabilities Seminar
Regulator Effects and Causal Networks: Provides insights into your data by integrating Upstream Regulator results with Downstream Effects results to create causal hypotheses that explain what may be occurring upstream to cause particular phenotypic or functional outcomes downstream.
Bioprofiler: Make novel discoveries by filtering the fine-grained relationships between molecules (genes, RNAs, proteins, and chemicals) and diseases or functions.