This is a two-part workshop. Part-1,provides a brief overview of bioinformatics concepts and software used for interpreting a gene list using pathway and network information. Part2, focuses on software demonstration using 2 HSLS-licensed tools: Correlation Engine, and Ingenuity Pathway Analysis (IPA).
Participants will learn how to
Experimental biologists working with human, mouse, or rat tissues and seeking to interpret gene lists generated through omics experiments such as gene expression, protein interactions, and SNP arrays. The software covered in the workshop operates through a user-friendly, point-and-click graphical user interface, so neither programming experience nor familiarity with the command line interface is required.
Chaparala, S.; Iwema, C.L.; Chattopadhyay, A. SARS-CoV-2 Infections - Gene Expression Omnibus (GEO) Data Mining, Pathway Enrichment Analysis, and Prediction of Repurposable Drugs/Compounds. Preprints 2020, 2020090459 (doi: 10.20944/preprints202009.0459.v1).
Please include the following statement in the acknowledgments section for all publications, posters, and presentations:
[Software name] licensed through the Molecular Biology Information Service of the Health Sciences Library System, University of Pittsburgh was used for data analysis.