The immune system, by any standard is complex. As the number of components in a system and interactions between components grows, our ability to fully comprehend the system diminishes significantly. Principally, humans in comparison to computers, do poorly in tasks such as memorizing, searching and constructing multi-component, multi-scale images. The need to """"""""free our knowledge"""""""" from free text, and place it in a computer system which will memorize our knowledge, allow for easy searching and visualization of our understanding of the immune system is apparent. The use of natural language processing to represent molecular findings from the scientific literature, and the use of network visualization have both made a clear impact across biology. Here, we plan to build a new informatics tool that uses both of these techniques to represent the complex network between cells, immunological processes, secreted cytokines, expressed transcripts, and phosphorylated signaling proteins, called ImuuneXpresso. We will then apply this tool to the multiple type of molecular measurements made throughout this program, to suggest the cellular cause of influenza vaccine non-response. Our tools will be available for beta tested to investigators within this program and released to the general community.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI057229-09
Application #
8375631
Study Section
Special Emphasis Panel (ZAI1-KS-I)
Project Start
Project End
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
9
Fiscal Year
2012
Total Cost
$127,229
Indirect Cost
$41,463
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
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