HANDS-ON INTUITIVE PATHWAY ANALYSIS FOR BEGINNERS USING BIOPATHWISE.

04/14/2008 15:00
America/New York

Target Audience: Experimentalists interested in studying signaling pathways.
***No mathematical background required***

Where:Room 20-01, Mount Sinai School of Medicine New York, NY

When: Monday April 14th 3:00 p.m. and Monday April 28th 2:30 p.m.

Course Director: Scott Lett Ph.D. President The BioAnalytics Group, developer of BioPathwise and other biomodeling tools and a member (with Mount Sinai, Yale, Princeton and Ohio State) in the NIAID-funded Program for Research on Immune Modeling and Experimentation (PRIME). http://tsb.mssm.edu/primeportal/

Registration: FREE Registration for Mount Sinai, Yale and Princeton faculty, staff and students

Software Download: Anyone interested in the modeling course (whether or not they can attend) is welcome, to download and install the BioPathwise software.
http://www.bioanalyticsgroup.com/BioPathwise/BioPathwise_2_0_SinaiDemo_I...

The software can only be downloaded on Microsoft Windows machines (windows xp recommended). We encourage you install it and run the test before the class, so that we can help troubleshoot. If anyone has difficulty, please email support@bioanalyticsgroup.com or call us at 609-632-0091 (hours Monday-through-Friday 9:30am-5:30pm EDT).

Abstract:

We are pleased to announce an introductory mini-course on biological pathway modeling using BioPathwise, intuitive pathway software that allows experimentalists to use powerful modeling techniques to test hypotheses and explore experimental results. An understanding of signaling pathways inspires hypotheses and experimentation, and pathway diagrams have become important tools for communicating research results in presentations, grant proposals, and publications. However, as pathways get more complicated it helps to use some computer tools to keep things straight. This hand-on class will present the use of pathway modeling tools as a way to help accelerate research, facilitate communication and to find and test hypotheses. Some simple examples will be presented to help answer the questions such as: How can pathway modeling help me? What kind of data is needed to make a pathway model? How difficult is it to use pathway models?