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dc.contributor.authorZou, Ming
dc.contributor.authorGuo, Baocheng
dc.contributor.authorArratia, Gloria
dc.contributor.authorHe, Shenping
dc.date.accessioned2014-04-11T19:24:12Z
dc.date.available2014-04-11T19:24:12Z
dc.date.issued2012-05-10
dc.identifier.citationZou, Ming, Baocheng Guo, Wenjing Tao, Gloria Arratia, and Shunping He. 2012. “Integrating Multi-Origin Expression Data Improves the Resolution of Deep Phylogeny of Ray-Finned Fish (Actinopterygii).” Scientific Reports 2 . http://dx.doi.org/10.1038/srep00665 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444750/.
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/1808/13458
dc.description.abstractThe actinopterygians comprise nearly one-half of all extant vertebrate species and are very important for human well-being. However, the phylogenetic relationships among certain groups within the actinopterygians are still uncertain, and debates about these relationships have continued for a long time. Along with the progress achieved in sequencing technologies, phylogenetic analyses based on multi-gene sequences, termed phylogenomic approaches, are becoming increasingly common and often result in well-resolved and highly supported phylogenetic hypotheses. Based on the transcriptome sequences generated in this study and the extensive expression data currently available from public databases, we obtained alignments of 274 orthologue groups for 26 scientifically and commercially important actinopterygians, representing 17 out of 44 orders within the class Actinopterygii. Using these alignments and probabilistic methods, we recovered relationships between basal actinopterygians and teleosts, among teleosts within protacanthopterygians and related lineages, and also within acanthomorphs. These relationships were recovered with high confidence.
dc.publisherMacmillan Publishers Limited
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputational biology and bioinformatics
dc.subjectPhylogenetics
dc.subjectZoology
dc.titleIntegrating multi-origin expression data improves the resolution of deep phylogeny of ray-finned fish (Actinopterygii)
dc.typeArticle
kusw.kuauthorArratia, Gloria
kusw.kudepartmentBiodiversity Institute
kusw.oastatusfullparticipation
dc.identifier.doi10.1038/srep00665
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
Except where otherwise noted, this item's license is described as: This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/