<?xml version="1.0"?>

<!DOCTYPE owl [
	<!ENTITY rdf "http://www.w3.org/1999/02/22-rdf-syntax-ns#">
	<!ENTITY rdfs "http://www.w3.org/2000/01/rdf-schema#">
	<!ENTITY xsd "http://www.w3.org/2001/XMLSchema#">
	<!ENTITY owl "http://www.w3.org/2002/07/owl#">
	<!ENTITY cc "http://web.resource.org/cc/#">
	<!ENTITY event "http://ebiquity.umbc.edu/ontology/event.owl#">
	<!ENTITY person "http://ebiquity.umbc.edu/ontology/person.owl#">
	<!ENTITY assert "http://ebiquity.umbc.edu/ontology/assertion.owl#">
]>

<!--

This ontology document is licensed under the Creative Commons
Attribution License. To view a copy of this license, visit
http://creativecommons.org/licenses/by/2.0/ or send a letter to
Creative Commons, 559 Nathan Abbott Way, Stanford, California
94305, USA.

-->

<rdf:RDF 
		xmlns:rdf = "&rdf;"
		xmlns:rdfs = "&rdfs;"
		xmlns:xsd = "&xsd;"
		xmlns:owl = "&owl;"
		xmlns:cc = "&cc;"
		xmlns:event = "&event;"
		xmlns:person = "&person;"
		xmlns:assert = "&assert;">
	<event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/255/Domain-based-computational-approaches-to-understand-the-molecular-basis-of-diseases">
		<rdfs:label><![CDATA[Domain-based computational approaches to understand the molecular basis of diseases]]></rdfs:label>
		<event:title><![CDATA[Domain-based computational approaches to understand the molecular basis of diseases]]></event:title>
		<event:speaker>
<person:Collaborator rdf:about="http://ebiquity.umbc.edu/person/html/Maricel/Kann"><person:name><![CDATA[Maricel Kann]]></person:name><rdfs:label><![CDATA[Maricel Kann]]></rdfs:label></person:Collaborator>
		</event:speaker>
		<event:startDate rdf:datatype="&xsd;dateTime">2008-09-05T13:00:00-05:00</event:startDate>
		<event:endDate rdf:datatype="&xsd;dateTime">2008-09-05T14:15:00-05:00</event:endDate>
		<event:location><![CDATA[LH 8 ITE building]]></event:location>
		<event:abstract><![CDATA[Protein domains, or domains, are the evolutionary, structural and
functional units of the proteins. Despite the obvious relevance of
domains to understanding biological process at the molecular level,
most high-throughput experimental data relating molecular information
to biological process, including diseases, is only analyzed at the
gene or protein level. I will introduce a new approach, the protein
domain profiling, to analyze clinical data derived from microarray and
other experimental high-throughput technology. I will show how to use
this approach to integrate mutational, alternative splicing and other
molecular events with protein interaction and gene expression.  In
addition, I will introduce HPDD, a database of human protein domains
available at <a href="http://bioinf.umbc.edu/hpdd">http://bioinf.umbc.edu/hpdd</a> which provides a unique
resource for study of protein domains and human diseases.]]></event:abstract>
		<event:tag><![CDATA[bioinformatics]]></event:tag>
		<assert:eventPptSlides rdf:resource="http://ebiquity.umbc.edu/resource/html/id/252/Domain-based-computational-approaches-to-understand-the-molecular-basis-of-diseases" />
	</event:Event>

<rdf:Description rdf:about="">
	<cc:License rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
</rdf:Description>

</rdf:RDF>
