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    <dc:description xml:lang="en">&lt;div id="wrap"&gt;&lt;!--	&lt;div id="head"&gt;	&lt;h1&gt;FANTOM-4&lt;/h1&gt;	&lt;h2&gt;(Functional Annotation of Mammalian Genome)&lt;/h2&gt;	&lt;/div&gt;--&gt;  &lt;div id="content"&gt;&lt;!--&lt;h3&gt;Database Links:&lt;/h3&gt;&lt;a href="../ria254i/"&gt;&lt;img  src="/sw/download/ria187i%7Eswf%7Eb_RIDM.jpg" style="margin-top: 5px;" border="0" height="48" width="173"&gt;&lt;/a&gt;&lt;a href="http://fantom.gsc.riken.jp/4/"&gt;&lt;img  src="/sw/download/ria187i%7Eswf%7Efantomlogo.png" style="margin-top: 5px;" border="0" height="48" width="173"&gt;&lt;/a&gt;&lt;a href="../ria237i/"&gt;&lt;img  src="/sw/download/ria187i%7Eswf%7Eb_CDTDB.jpg" style="margin-top: 5px;" border="0" height="48" width="173"&gt;&lt;/a&gt;&lt;a href="../rib185i/"&gt;&lt;img  src="/sw/download/ria187i%7Eswf%7Eb_MGI.jpg" style="margin-top: 5px;" border="0" height="48" width="173"&gt;&lt;/a&gt;&lt;a href="../rib178i/"&gt;&lt;img  src="/sw/download/ria187i%7Eswf%7Eb_Ensemble.jpg" style="margin-top: 5px;" border="0" height="48" width="173"&gt;&lt;/a&gt;&lt;br&gt;--&gt;&lt;h3&gt;eVOC (Expressed Sequence Annotation for Humans)&lt;/h3&gt;&lt;p&gt;Official Site: &lt;a href="http://www.evocontology.org/"&gt;http://www.evocontology.org/&lt;/a&gt;&lt;/p&gt;&lt;p&gt;eVOC, distributed free of charge by the South African National Bioinformatics Institute, is a set of orthogonal controlled vocabularies that unifies gene expression data by facilitating a link between the genome sequence and expression phenotype information. The eVOC ontologies are the result of a public/private partnership that combines the development of open public standards and data with the stability of commercial support and software.&lt;/p&gt;&lt;p&gt;The four core eVOC ontologies provide an appropriate set of detailed human terms that describe the sample source of human experimental material such as cDNA and SAGE libraries. These expression terms are linked to libraries and transcripts allowing the assessment of tissue expression profiles, differential gene expression levels and the physical distribution of expression across the genome. Analysis is currently possible using EST and SAGE data, with microarray data being incorporated.&lt;/p&gt;&lt;p&gt;The eVOC data is increasingly being accepted as a standard for describing gene expression and eVOC ontologies are integrated with the Ensembl EnsMart database, the Alternate Transcript Diversity Project and the UniProt Knowledgebase. Several groups are currently working to provide shared development of this resource such that it is of maximum use in unifying transcript expression information.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</dc:description>
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