Beyond Gene Lists: Biological Analysis Strategies for Gene Expression Data

Genetic Engineering & Biotechnology News is please to bring you this educational and informative webinar: Beyond Gene Lists: Biological Analysis Strategies for Gene Expression Data

Using published data, the webinar panelists will present biological analysis strategies and tools that can help you get a better understanding of your gene expression data, such as understanding the biological processes, molecular interactions, or pathways that may be causing observed effects. Examples will highlight ways in which researchers with microarray data reached a more complete biological understanding of their results and were able to identify interesting genes for followup, whether by qPCR validation or another method. You will see how this type of approach provides a rich biological context that allows the researcher to generate unique insights into molecular and chemical interactions, cellular phenotypes, chemical interactions, and fundamental disease processes of specific systems.

What You Will Learn in This Webinar

• How patient response to treatment can be combined with gene expression data to uncover differences between patient subgroups, gain insights into mechanism of disease, and connect phenotypic observations with relevant biology
• How biological analysis strategies can provide deeper insights into datasets (even those that are statistically challenging) by narrowing in on affected biological functions and pathways
• How pathway tools can explore a gene set and gene connections in the context of published literature, and identify interesting genes for followup
• How biological analysis strategies help researchers move past lists of significant genes to understand what elements of biology are being affected in an experiment

Who Should Attend

• Molecular biologists
• Cell biologists and physiologists
• Drug development scientists
• Systems biologists

Panelists Include

• Stuart Tugendreich, Ph.D., Product Management Director--IPA, Ingenuity Systems
• Shelley Ann des Etages, Ph.D., Lecturer, Department of Biology and Health Sciences, Pace University
• Olga Troyanskaya, Ph.D., Associate Professor, Lewis-Sigler Institute for Integrative Genomics, Department of Computer Science, Princeton University

Tamlyn Oliver, Managing Editor, Genetic Engineering & Biotechnology News, will be the host of this webinar. A live Q&A session will follow the presentations, offering you a chance to pose questions to our expert panelists.