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Article: SeqVis: Visualization of compositional heterogeneity in large alignments of nucleotides

TitleSeqVis: Visualization of compositional heterogeneity in large alignments of nucleotides
Authors
Ho, Joshua W.K.Adams, Cameron E.Lew, Jie BinMatthews, Timothy J.Ng, Chiu ChinShahabi-Sirjani, ArashTan, Leng HongZhao, YuEasteal, SimonWilson, Susan R.Jermiin, Lars S.
Issue Date2006
Citation
Bioinformatics, 2006, v. 22, n. 17, p. 2162-2163 How to Cite?
DOI: http://dx.doi.org/10.1093/bioinformatics/btl283
AbstractSummary: Most phylogenetic methods assume that the sequences evolved under homogeneous, stationary and reversible conditions. Compositional heterogeneity in data intended for studies of phylogeny suggests that the data did not evolve under these conditions. SeqVis, a Java application for analysis of nucleotide content, reads sequence alignments in several formats and plots the nucleotide content in a tetrahedron. Once plotted, outliers can be identified, thus allowing for decisions on the applicability of the data for phylogenetic analysis. © 2006 Oxford University Press.
Persistent Identifierhttp://hdl.handle.net/10722/262612
ISSN
1367-4803
2023 Impact Factor: 4.4
2023 SCImago Journal Rankings: 2.574
ISI Accession Number ID
WOS:000240433100017

 

DC FieldValueLanguage
dc.contributor.authorHo, Joshua W.K.-
dc.contributor.authorAdams, Cameron E.-
dc.contributor.authorLew, Jie Bin-
dc.contributor.authorMatthews, Timothy J.-
dc.contributor.authorNg, Chiu Chin-
dc.contributor.authorShahabi-Sirjani, Arash-
dc.contributor.authorTan, Leng Hong-
dc.contributor.authorZhao, Yu-
dc.contributor.authorEasteal, Simon-
dc.contributor.authorWilson, Susan R.-
dc.contributor.authorJermiin, Lars S.-
dc.date.accessioned2018-10-08T02:46:32Z-
dc.date.available2018-10-08T02:46:32Z-
dc.date.issued2006-
dc.identifier.citationBioinformatics, 2006, v. 22, n. 17, p. 2162-2163-
dc.identifier.issn1367-4803-
dc.identifier.urihttp://hdl.handle.net/10722/262612-
dc.description.abstractSummary: Most phylogenetic methods assume that the sequences evolved under homogeneous, stationary and reversible conditions. Compositional heterogeneity in data intended for studies of phylogeny suggests that the data did not evolve under these conditions. SeqVis, a Java application for analysis of nucleotide content, reads sequence alignments in several formats and plots the nucleotide content in a tetrahedron. Once plotted, outliers can be identified, thus allowing for decisions on the applicability of the data for phylogenetic analysis. © 2006 Oxford University Press.-
dc.languageeng-
dc.relation.ispartofBioinformatics-
dc.titleSeqVis: Visualization of compositional heterogeneity in large alignments of nucleotides-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1093/bioinformatics/btl283-
dc.identifier.pmid16766557-
dc.identifier.scopuseid_2-s2.0-33748650992-
dc.identifier.volume22-
dc.identifier.issue17-
dc.identifier.spage2162-
dc.identifier.epage2163-
dc.identifier.eissn1460-2059-
dc.identifier.isiWOS:000240433100017-

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