Immunology Ontology: Difference between revisions
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::example: GO enrichment of microarray data | ::example: GO enrichment of microarray data | ||
:to support text mining and NLP, document retrieval | :to support text mining and NLP, document retrieval | ||
::example: GOPubMed | ::example: [http://www.gopubmed.org/web/gopubmed/ GOPubMed] | ||
:to integrate heterogeneous data types / heterogeneous research communities | :to integrate heterogeneous data types / heterogeneous research communities | ||
::example: the OBO Foundry | ::example: the OBO [http://www.obofoundry.org/ Open Biological and Biomedical Ontologies]) Foundry | ||
'''1:00-3:00pm''' | '''1:00-3:00pm''' | ||
Revision as of 16:29, 11 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. Overview of ontologies with content relevant to immunology
The Protein Ontology (PRO) The Gene Ontology (GO) The Cell Ontology (CL) The Immune Epitope Ontology (ONTIE) The Infectious Disease Ontology (IDO)
3. 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 Open Biological and Biomedical Ontologies) Foundry
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.
