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Upcoming Training Workshop: Ingenuity Pathways Analysis (IPA)

QIAGEN Ingenuity Pathways Analysis (IPA) is a powerful piece of software that facilitates the comprehensive analysis of gene expression data, among other molecular data types, to infer the underlying causes of the observed fold-changes, predict downstream effects, and discover new targets of candidate biomarkers.

This half-day, interactive workshop will be delivered by Dr. Tim Hou, Field Application Scientist, QIAGEN Digital Insights. Attendees will learn the basics and some of the newest features of the IPA software, including how to: perform pathways analysis, compare expression between different groups (e.g., time-points, biological conditions, treatments, etc.), generate networks using genes, chemicals, and diseases of interest, how to compare your data to data in the public domain, and how to mine IPA’s rich database for novel discoveries. 

What is the format of this workshop? This workshop will be a half-day, interactive workshop led by Dr. Tim Hou, Field Application Scientist, QIAGEN Digital Insights. Given the interactive nature of this workshop, it is recommended that attendees bring their laptop. A detailed itinerary for this workshop, including a schedule of events and topics, can be found in the attached flyer.

When will the workshop be held? Friday, January 19th from 9:00a – 2:00p CT, with optional office hours with Dr. Hou from 2p-4p.

Where will the workshop be held? Lied Auditorium, KU Medical Center Campus, 3901 Rainbow Blvd., Kansas City, Kansas.

Who is this workshop for? Members of the KUMC community that are interested in learning the basics and some of the newest features of the IPA software. This could include, but is not limited to: graduate students, post-doctoral researchers, staff, and faculty.

How to register? https://forms.office.com/e/7VMWmpqU6U

Is there any cost? No, registration for the workshop is free. Lunch will be provided. 

Deadline for registration: Friday, January 12th 2024.

Sponsors: Department of Biostatistics & Data Science, Quantitative Omics Core that supports the Kansas Institute for Precision Medicine, Biostatistics and Informatics Shared Resource that supports the University of Kansas Cancer Center, and the Data Science Core that supports the Kansas INBRE.

Who to contact with questions? Questions about the speaker or the event should be directed to Devin Koestler (dkoestler@kumc.edu).