IPMiner: a progenitor gene identifier for influenza A virus
Identifieur interne : 000577 ( Pmc/Corpus ); précédent : 000576; suivant : 000578IPMiner: a progenitor gene identifier for influenza A virus
Auteurs : Zhipeng Cai ; Yueming Duan ; Yingshu Li ; Guohui Lin ; Mufit Ozden ; Xiu-Feng WanSource :
- Influenza and other respiratory viruses [ 1750-2640 ] ; 2011.
Abstract
Identification of the genetic origin of influenza A viruses will facilitate understanding of the genomic dynamics, evolutionary pathway, and viral fitness of influenza A viruses. The exponential increases of influenza sequences have expanded the coverage of influenza genetic pool, thus potentially reducing the biases for influenza progenitor identification. However, these large amounts of data generate a great challenge in progenitor identification. To increase computational efficiency, IPMiner is developed by integrating complete composition vector for genetic distance calculation and minimum spanning tree algorithm for progenitor identification. IPMiner is available to at
Url:
PubMed: 21761594
PubMed Central: 3208347
Links to Exploration step
PMC:3208347Le document en format XML
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<author><name sortKey="Cai, Zhipeng" sort="Cai, Zhipeng" uniqKey="Cai Z" first="Zhipeng" last="Cai">Zhipeng Cai</name>
<affiliation><nlm:aff id="A1">Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA</nlm:aff>
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<author><name sortKey="Duan, Yueming" sort="Duan, Yueming" uniqKey="Duan Y" first="Yueming" last="Duan">Yueming Duan</name>
<affiliation><nlm:aff id="A1">Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA</nlm:aff>
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<affiliation><nlm:aff id="A2">Department of Computer Science, Georgia State University, Atlanta, GA, USA</nlm:aff>
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<author><name sortKey="Li, Yingshu" sort="Li, Yingshu" uniqKey="Li Y" first="Yingshu" last="Li">Yingshu Li</name>
<affiliation><nlm:aff id="A2">Department of Computer Science, Georgia State University, Atlanta, GA, USA</nlm:aff>
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<author><name sortKey="Lin, Guohui" sort="Lin, Guohui" uniqKey="Lin G" first="Guohui" last="Lin">Guohui Lin</name>
<affiliation><nlm:aff id="A3">Department of Computing Science, University of Alberta, Edmonton, AB, Canada</nlm:aff>
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<author><name sortKey="Ozden, Mufit" sort="Ozden, Mufit" uniqKey="Ozden M" first="Mufit" last="Ozden">Mufit Ozden</name>
<affiliation><nlm:aff id="A4">Department of Computer Science and Systems Analysis, Miami University, Oxford, OH, USA</nlm:aff>
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<author><name sortKey="Wan, Xiu Feng" sort="Wan, Xiu Feng" uniqKey="Wan X" first="Xiu-Feng" last="Wan">Xiu-Feng Wan</name>
<affiliation><nlm:aff id="A1">Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA</nlm:aff>
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<author><name sortKey="Duan, Yueming" sort="Duan, Yueming" uniqKey="Duan Y" first="Yueming" last="Duan">Yueming Duan</name>
<affiliation><nlm:aff id="A1">Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA</nlm:aff>
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<affiliation><nlm:aff id="A2">Department of Computer Science, Georgia State University, Atlanta, GA, USA</nlm:aff>
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<author><name sortKey="Li, Yingshu" sort="Li, Yingshu" uniqKey="Li Y" first="Yingshu" last="Li">Yingshu Li</name>
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<author><name sortKey="Lin, Guohui" sort="Lin, Guohui" uniqKey="Lin G" first="Guohui" last="Lin">Guohui Lin</name>
<affiliation><nlm:aff id="A3">Department of Computing Science, University of Alberta, Edmonton, AB, Canada</nlm:aff>
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<author><name sortKey="Ozden, Mufit" sort="Ozden, Mufit" uniqKey="Ozden M" first="Mufit" last="Ozden">Mufit Ozden</name>
<affiliation><nlm:aff id="A4">Department of Computer Science and Systems Analysis, Miami University, Oxford, OH, USA</nlm:aff>
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<author><name sortKey="Wan, Xiu Feng" sort="Wan, Xiu Feng" uniqKey="Wan X" first="Xiu-Feng" last="Wan">Xiu-Feng Wan</name>
<affiliation><nlm:aff id="A1">Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA</nlm:aff>
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<series><title level="j">Influenza and other respiratory viruses</title>
<idno type="ISSN">1750-2640</idno>
<idno type="eISSN">1750-2659</idno>
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<front><div type="abstract" xml:lang="en"><p id="P1">Identification of the genetic origin of influenza A viruses will facilitate understanding of the genomic dynamics, evolutionary pathway, and viral fitness of influenza A viruses. The exponential increases of influenza sequences have expanded the coverage of influenza genetic pool, thus potentially reducing the biases for influenza progenitor identification. However, these large amounts of data generate a great challenge in progenitor identification. To increase computational efficiency, IPMiner is developed by integrating complete composition vector for genetic distance calculation and minimum spanning tree algorithm for progenitor identification. IPMiner is available to at <ext-link ext-link-type="uri" xlink:href="http://sysbio.cvm.msstate.edu/IPMiner">http://sysbio.cvm.msstate.edu/IPMiner</ext-link>
.</p>
</div>
</front>
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<pmc article-type="research-article" xml:lang="en"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101304007</journal-id>
<journal-id journal-id-type="pubmed-jr-id">33817</journal-id>
<journal-id journal-id-type="nlm-ta">Influenza Other Respi Viruses</journal-id>
<journal-title-group><journal-title>Influenza and other respiratory viruses</journal-title>
</journal-title-group>
<issn pub-type="ppub">1750-2640</issn>
<issn pub-type="epub">1750-2659</issn>
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<article-id pub-id-type="manuscript">NIHMS332027</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>IPMiner: a progenitor gene identifier for influenza A virus</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Cai</surname>
<given-names>Zhipeng</given-names>
</name>
<xref rid="A1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Duan</surname>
<given-names>Yueming</given-names>
</name>
<xref rid="A1" ref-type="aff">a</xref>
<xref rid="A2" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Yingshu</given-names>
</name>
<xref rid="A2" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Lin</surname>
<given-names>Guohui</given-names>
</name>
<xref rid="A3" ref-type="aff">c</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Ozden</surname>
<given-names>Mufit</given-names>
</name>
<xref rid="A4" ref-type="aff">d</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Wan</surname>
<given-names>Xiu-Feng</given-names>
</name>
<xref rid="A1" ref-type="aff">a</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>a</label>
Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA</aff>
<aff id="A2"><label>b</label>
Department of Computer Science, Georgia State University, Atlanta, GA, USA</aff>
<aff id="A3"><label>c</label>
Department of Computing Science, University of Alberta, Edmonton, AB, Canada</aff>
<aff id="A4"><label>d</label>
Department of Computer Science and Systems Analysis, Miami University, Oxford, OH, USA</aff>
<pub-date pub-type="nihms-submitted"><day>18</day>
<month>10</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="ppub"><month>5</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>4</day>
<month>11</month>
<year>2011</year>
</pub-date>
<volume>5</volume>
<issue>Suppl 1</issue>
<fpage>413</fpage>
<lpage>415</lpage>
<permissions><copyright-statement>© 2011 Blackwell Publishing Ltd</copyright-statement>
<copyright-year>2011</copyright-year>
</permissions>
<abstract><p id="P1">Identification of the genetic origin of influenza A viruses will facilitate understanding of the genomic dynamics, evolutionary pathway, and viral fitness of influenza A viruses. The exponential increases of influenza sequences have expanded the coverage of influenza genetic pool, thus potentially reducing the biases for influenza progenitor identification. However, these large amounts of data generate a great challenge in progenitor identification. To increase computational efficiency, IPMiner is developed by integrating complete composition vector for genetic distance calculation and minimum spanning tree algorithm for progenitor identification. IPMiner is available to at <ext-link ext-link-type="uri" xlink:href="http://sysbio.cvm.msstate.edu/IPMiner">http://sysbio.cvm.msstate.edu/IPMiner</ext-link>
.</p>
</abstract>
<kwd-group><kwd>CCV-MST</kwd>
<kwd>complete composition vector</kwd>
<kwd>influenza A virus</kwd>
<kwd>minimum spanning tree</kwd>
<kwd>phylogeny</kwd>
<kwd>progenitor</kwd>
</kwd-group>
<funding-group><award-group><funding-source country="United States">National Institute of Allergy and Infectious Diseases Extramural Activities : NIAID</funding-source>
<award-id>RC1 AI086830-01 || AI</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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