H2N2V1, Pmc, Curation, bibRecord, 000577

IPMiner: a progenitor gene identifier for influenza A virus

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IPMiner: a progenitor gene identifier for influenza A virus

Auteurs : Zhipeng Cai [États-Unis] ; Yueming Duan [États-Unis] ; Yingshu Li [États-Unis] ; Guohui Lin [Canada] ; Mufit Ozden [États-Unis] ; Xiu-Feng Wan [États-Unis]

Source :

Influenza and other respiratory viruses [ 1750-2640 ] ; 2011.

RBID : PMC:3208347

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 http://sysbio.cvm.msstate.edu/IPMiner.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3208347

PubMed: 21761594
PubMed Central: 3208347

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Le document en format XML

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<affiliation wicri:level="1"><nlm:aff id="A1">Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS</wicri:regionArea>
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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>
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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>
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<given-names>Xiu-Feng</given-names>
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<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>
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<pub-date pub-type="ppub"><month>5</month>
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<pub-date pub-type="pmc-release"><day>4</day>
<month>11</month>
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<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>
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<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>
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<funding-group><award-group><funding-source country="United States">National Institute of Allergy and Infectious Diseases Extramural Activities  : NIAID</funding-source>
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IPMiner: a progenitor gene identifier for influenza A virus

IPMiner: a progenitor gene identifier for influenza A virus

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