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dc.contributor.authorHu, Yuh-Jyhen_US
dc.contributor.authorTu, Po-Chinen_US
dc.contributor.authorLin, Chun-Shengen_US
dc.contributor.authorGuo, Szu-Tingen_US
dc.date.accessioned2014-12-08T15:34:32Z-
dc.date.available2014-12-08T15:34:32Z-
dc.date.issued2014-01-08en_US
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://dx.doi.org/10.1371/journal.pone.0084638en_US
dc.identifier.urihttp://hdl.handle.net/11536/23598-
dc.description.abstractAn increase in the availability of data on the influenza A viruses (IAV) has enabled the identification of the potential determinants of IAV host specificity using computational approaches. In this study, we proposed an alternative approach, based on the adjusted Rand index (ARI), for the evaluation of genomic signatures of IAVs and their ability to distinguish hosts they infected. Our experiments showed that the host-specific signatures identified using the ARI were more characteristic of their hosts than those identified using previous measures. Our results provided updates on the host-specific genomic signatures in the internal proteins of the IAV based on the sequence data as of February 2013 in the National Center for Biotechnology Information (NCBI). Unlike other approaches for signature recognition, our approach considered not only the ability of signatures to distinguish hosts (according to the ARI), but also the chronological relationships among proteins. We identified novel signatures that could be mapped to known functional domains, and introduced a chronological analysis to investigate the changes in host-specific genomic signatures over time. Our chronological analytical approach provided results on the adaptive variability of signatures, which correlated with previous studies' findings, and indicated prospective adaptation trends that warrant further investigation.en_US
dc.language.isoen_USen_US
dc.titleIdentification and Chronological Analysis of Genomic Signatures in Influenza A Virusesen_US
dc.typeArticleen_US
dc.identifier.doi10.1371/journal.pone.0084638en_US
dc.identifier.journalPLOS ONEen_US
dc.citation.volume9en_US
dc.citation.issue1en_US
dc.citation.epageen_US
dc.contributor.department分子醫學與生物工程研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitute of Molecular Medicine and Bioengineeringen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000329862500144-
dc.citation.woscount1-
Appears in Collections:Articles


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