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<pubDate>Thu, 21 Aug 2008 01:18:11 BST</pubDate>


	<title>CiteULike: grahamc's Iqbal</title>
	<description>CiteULike: grahamc's Iqbal</description>


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<item rdf:about="http://www.citeulike.org/user/grahamc/article/2708070">
    <title>Flexible web-based integration of distributed large-scale human protein interaction maps</title>
    <link>http://www.citeulike.org/user/grahamc/article/2708070</link>
    <description>&lt;i&gt;Journal of Integrative Bioinformatics, Vol. 4, No. 1. (2007), pp. 51-61.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Protein-protein interactions constitute the backbone of many molecular processes. This has motivated the recent construction of several large-scale human protein-protein interaction maps. Although these maps clearly offer a wealth of information, their use is challenging: complexity, rapid growth, and fragmentation of interaction data hamper their usability. To overcome these hurdles, we have developed a publicly accessible database termed UniHI (Unified Human Interactome) for integration of human protein-protein interaction data. This database is designed to provide biomedical researchers a common platform for exploring previously disconnected human interaction maps. UniHI offers researchers flexible integrated tools for accessing comprehensive information about the human interactome. Several features included in the UniHI allow users to perform various types of network-oriented and functional analysis. At present, UniHI contains over 160,000 distinct interactions between 17,000 unique proteins from ten major interaction maps derived by both computational and experimental approaches. Here we describe the details of the implementation and maintenance of UniHI and discuss the challenges that have to be addressed for a successful integration of interaction data.</description>
    <dc:title>Flexible web-based integration of distributed large-scale human protein interaction maps</dc:title>

    <dc:creator>Gautam Chaurasia</dc:creator>
    <dc:creator>Yasir Iqbal</dc:creator>
    <dc:creator>Christian Hänig</dc:creator>
    <dc:creator>Hanspeter Herzel</dc:creator>
    <dc:creator>Erich Wanker</dc:creator>
    <dc:creator>Matthias Futschik</dc:creator>
    <dc:source>Journal of Integrative Bioinformatics, Vol. 4, No. 1. (2007), pp. 51-61.</dc:source>
    <dc:date>2008-04-23T16:12:45-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Journal of Integrative Bioinformatics</prism:publicationName>
    <prism:volume>4</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>51</prism:startingPage>
    <prism:endingPage>61</prism:endingPage>
    <prism:category>bioinformatics</prism:category>
    <prism:category>database</prism:category>
    <prism:category>data_integration</prism:category>
    <prism:category>human</prism:category>
    <prism:category>interactions</prism:category>
    <prism:category>protein-protein</prism:category>
    <prism:category>tools</prism:category>
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<item rdf:about="http://www.citeulike.org/user/grahamc/article/1043461">
    <title>UniHI: an entry gate to the human protein interactome.</title>
    <link>http://www.citeulike.org/user/grahamc/article/1043461</link>
    <description>&lt;i&gt;Nucleic Acids Res, Vol. 35, No. Database issue. (January 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Systematic mapping of protein-protein interactions has become a central task of functional genomics. To map the human interactome, several strategies have recently been pursued. The generated interaction datasets are valuable resources for scientists in biology and medicine. However, comparison reveals limited overlap between different interaction networks. This divergence obstructs usability, as researchers have to interrogate numerous heterogeneous datasets to identify potential interaction partners for proteins of interest. To facilitate direct access through a single entry gate, we have started to integrate currently available human protein interaction data in an easily accessible online database. It is called UniHI (Unified Human Interactome) and is available at http://www.mdc-berlin.de/unihi. At present, it is based on 10 major interaction maps derived by computational and experimental methods. It includes more than 150,000 distinct interactions between more than 17 000 unique human proteins. UniHI provides researchers with a flexible integrated tool for finding and using comprehensive information about the human interactome.</description>
    <dc:title>UniHI: an entry gate to the human protein interactome.</dc:title>

    <dc:creator>G Chaurasia</dc:creator>
    <dc:creator>Y Iqbal</dc:creator>
    <dc:creator>C Hänig</dc:creator>
    <dc:creator>H Herzel</dc:creator>
    <dc:creator>EE Wanker</dc:creator>
    <dc:creator>ME Futschik</dc:creator>
    <dc:source>Nucleic Acids Res, Vol. 35, No. Database issue. (January 2007)</dc:source>
    <dc:date>2007-01-15T21:33:59-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Nucleic Acids Res</prism:publicationName>
    <prism:issn>1362-4962</prism:issn>
    <prism:volume>35</prism:volume>
    <prism:number>Database issue</prism:number>
    <prism:category>bioinformatics</prism:category>
    <prism:category>biological_networks</prism:category>
    <prism:category>data_integration</prism:category>
    <prism:category>human</prism:category>
    <prism:category>interactions</prism:category>
    <prism:category>protein-protein</prism:category>
    <prism:category>tools</prism:category>
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