Immunology Ontology: Difference between revisions
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8:30-10:00am Lecture | 8:30-10:00am Lecture | ||
1. Introduction to ontology | |||
:what is an ontology, how is it different from a controlled vocabulary, a computerized lexicon, and a data dictionary? | |||
2. How are ontologies used? | |||
:for data annotation à la GO and GMODs | |||
:in defining data standards | |||
::example: [https://immport.niaid.nih.gov/immportWeb/home/home.do?loginType=full ImmPort] | |||
:to support data analysis | |||
::example: GO enrichment of microarray data | |||
:to support text mining and NLP, document retrieval | |||
::example: GOPubMed | |||
:to integrate heterogeneous data types / heterogeneous research communities | |||
::example: the OBO Foundry | |||
3. overview of ontologies with content relevant to immunology | |||
1:00-3:00pm | |||
'''1:00-3:00pm''' | |||
Hands-on example of building a small ontology | |||
Practical Session | Practical Session | ||
Revision as of 21:11, 10 April 2013
What: Lecture and practical session on Immunology Ontology
When: Tuesday June 11
Where: Rafik B. Hariri Institute for Computing and Computational Science and Engineering, Boston University, Boston, MA on June 10-14, 2013.
Schedule
8:00 Breakfast
8:30-10:00am Lecture
1. Introduction to ontology
- what is an ontology, how is it different from a controlled vocabulary, a computerized lexicon, and a data dictionary?
2. How are ontologies used?
- for data annotation à la GO and GMODs
- in defining data standards
- example: ImmPort
- to support data analysis
- example: GO enrichment of microarray data
- to support text mining and NLP, document retrieval
- example: GOPubMed
- to integrate heterogeneous data types / heterogeneous research communities
- example: the OBO Foundry
3. overview of ontologies with content relevant to immunology
1:00-3:00pm
Hands-on example of building a small ontology
Practical Session
Background Reading:
The above forms part of the Summer School for Quantitative Systems Immunology.
