Nov. 5, 2018
1 PM – 4 PM
NIH Bldg 10, FAES Classroom 3, B1C207
Presenter: Eric Seiser, Ph.D., Qiagen
RNA-seq, expression microarrays, and other omics profiling platforms are powerful tools for discovery, and analytical pipelines often return large numbers of significant genes or other markers. This presents a challenge when trying to understand how all these results are relevant to the system under investigation. QIAGEN’s Ingenuity Pathway Analysis (IPA) utilizes an unparalleled curated Knowledge Base derived from literature and public databases to help you understand how genes, miRNAs, proteins, or metabolites function, both independently and with other molecules in your results, to influence the underlying biology of your study. IPA provides a powerful platform to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets, and is cited in >16,000 peer-reviewed articles. These training sessions will demonstrate how to utilize IPA’s knowledge & discovery tools to relate the most recent literature findings to biological understanding of your data.
Agenda
1:00pm – 4:00pm: Introduction to IPA and Getting Started with the Core Analysis
This hands-on training (geared towards new users) will define the Qiagen Knowledge Base and how the tools within Ingenuity Pathway Analysis (IPA) draw on this information to provide powerful biological insights. The session will also introduce Analysis Match, a new feature that allows users to compare their own data to a large spectrum of pre-compiled data from public repositories to determine similarity/dissimilarity at the biological level.
This session will provide users training on how to perform the following tasks:
- Querying the Qiagen Knowledge Base
- Data Upload & Analysis of gene, transcript, protein & metabolite data
- Pathway Analysis
- Regulators and their directional effect on genes, functions and diseases
- Downstream Effects
- Analysis Match