Richard Samkurashvili (Ariadne Genomics Inc)
Demonstration of the Pathway Studio software for Gene Expression

Lunch will be provided

Abstract:

Pathway Studio pathways analysis software is developed for processing high throughput animal or plant data to:

1. Interpret gene expression and other high throughput data
2. Build, expand and analyze pathways
3. Find relationships among genes, proteins, cell processes and diseases
4. Draw publication-quality pathway diagrams

More info on Ariadne and the software is included bellow. If you are interested in attending the presentation R.S.V.P. to irakli@ariadnegenomics.com and indicate your area of research.

For five years Ariadne has provided Pathway Studio to commercial andacademic researchers performing basic research, target discovery, and toxicology as the Next Step in analyzing high-throughput genomics experimental data.   Pathway Studio includes unique natural language processing technology that extracts and organizes a myriad of experimentalfindings from over 14 million abstracts found on PubMed as well as a wealthof facts from 47 top scientific journals, all with a few clicks - knowledge that would be impossible to extract, correlate, and assess manually. Pathway Studio includes powerful tools for researchers to search therelationships between proteins, transcriptional and regulatory factors,treatments and outcome, small molecule interactions, and disease.  Highlycurated reference information and a visualization framework let researchersto explore these relationships from a system's biology prospective or in thecontext of well-known canonical metabolic and signaling pathways.   Analysismethods such as Gene Set Enrichment Analysis (GSEA), modeled after the BROADimplementation, help extract biological interpretation from a cacophony ofexperimental results.

With Pathway Studio researchers can:

• Apply expression, proteomics, and metabolomics data to discoverspecific upstream/downstream regulatory and signaling events,
• Find paths among molecules/cell objects/processes,
• Detect common targets/regulators for a group of proteins,
• Create pathways de novo and produce publication quality diagrams,
• Find major transcriptional regulators from experimental results,
• Identify pathways activated in gene expression and metabolomics

experiments.

Free evaluation of

Pathway Studio, available from our website:

http://www.ariadnegenomics.com/support/register

Questions? Want to meet with the speaker?

Contact Siela Maximova, snm104@psu.edu