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Register Now for the Pathway Studio Training Class at the NIH Library

Thursday, September 8, 2016
9:30 a.m. – 4:00 p.m.
NIH Library Training Room, Building 10
Registration required: http://nihlibrary.beta.libcal.com/event/2607505

Do you need to do any of the following?

  • Build molecular networks (of proteins, genes, small molecules, diseases, cells and cell processes, etc.) to identify signaling pathways or disease mechanisms
  • Analyze OMICS data (including gene expression, metabolomics, proteomics, and genotypes) to find:
    • Cellular processes and ontologies
    • Pathways
    • Major expression regulators
    • Interesting SNPs associated with specific phenotypes/diseases/cell processes/drugs
  • Summarize a large body of literature on a specific subject such as a gene, cell process, disease, etc.
  • Generate publication quality images of biological pathways
  • Find what proteins are expressed in specific cell types or how a disease impacts a specific cell type

Pathway Studio can help you do all this and more!

Attend the Pathway Studio training class to learn how to use this online research solution that combines a knowledgebase of literature extracted molecular facts with powerful analytical and visualization tools to better understand the underlying biology from experimental, clinical and literature-based evidence.

The class will focus on de novo pathway building, high-throughput data analysis and variant analysis. You will learn to:

  • Navigate Pathway Studio Web and utilize embedded tools for pathway analysis
  • Create de novo pathways and biological association networks using the knowledgebase of facts extracted from scientific literature
  • Import and analyze gene expression data and variant analysis
  • Build new models or validate existing ones for diseases and cell processes
  • Leverage the Pathway Studio knowledgebase to build research hypotheses and to verify findings
  • Explore cause and effect interactions contained in your experimental data
  • Generate fast reports from expression data analysis

To register: http://nihlibrary.beta.libcal.com/event/2607505

This class is taught by Pathway Studio staff.

Sign language interpreters and other reasonable accommodations can be provided. If you require such accommodations, please contact the NIH Library Information Desk at 301.496.1080 five business days in advance. For TDD users/callers, please call the above number through the Federal Relay Service at 1.800.877.8339.

The NIH Library in Building 10 serves the information needs of NIH staff and select Department of Health and Human Services (HHS) agencies. The NIH Library is part of the Office of Research Services (ORS) in the Office of the Director (OD).