Immunology Ontology: Difference between revisions

Revision as of 16:27, 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 Foundry

1:00-3:00pm

Hands-on example of building a small ontology

Practical Session

Background Reading:

@@ Line 14: / Line 14: @@
 :what is an ontology, how is it different from a controlled vocabulary, a computerized lexicon, and a data dictionary?
-. How are ontologies used?
+. Overview of ontologies with content relevant to immunology
+The Protein Ontology ([http://pir.georgetown.edu/pro/ PRO])
+The Gene Ontology ([http://www.geneontology.org/ GO])
+The Cell Ontology ([http://www.obofoundry.org/cgi-bin/detail.cgi?id=cell CL])
+The Immune Epitope Ontology ([http://70.167.3.46/iedb/ ONTIE])
+The Infectious Disease Ontology ([http://infectiousdiseaseontology.org/page/Main_Page IDO])
+. How are ontologies used?
 :for data annotation à la GO and GMODs
 :in defining data standards
@@ Line 25: / Line 33: @@
 ::example: the OBO Foundry
-. overview of ontologies with content relevant to immunology