<?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>

