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PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees

Summary: Evolutionary biologists are often interested in finding correlations among biological traits across a number of species, as such correlations may lead to testable hypotheses about the underlying function. Because some species are more closely related than others, computing and visualizing t...

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Detalles Bibliográficos
Autores principales: Lee, Bongshin, Nachmanson, Lev, Robertson, George, Carlson, Jonathan M., Heckerman, David
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2752614/
https://www.ncbi.nlm.nih.gov/pubmed/19633096
http://dx.doi.org/10.1093/bioinformatics/btp454
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author Lee, Bongshin
Nachmanson, Lev
Robertson, George
Carlson, Jonathan M.
Heckerman, David
author_facet Lee, Bongshin
Nachmanson, Lev
Robertson, George
Carlson, Jonathan M.
Heckerman, David
author_sort Lee, Bongshin
collection PubMed
description Summary: Evolutionary biologists are often interested in finding correlations among biological traits across a number of species, as such correlations may lead to testable hypotheses about the underlying function. Because some species are more closely related than others, computing and visualizing these correlations must be done in the context of the evolutionary tree that relates species. In this note, we introduce PhyloDet (short for PhyloDetective), an evolutionary tree visualization tool that enables biologists to visualize multiple traits mapped to the tree. Availability: http://research.microsoft.com/cue/phylodet/ Contact: bongshin@microsoft.com.
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spelling pubmed-27526142009-10-01 PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees Lee, Bongshin Nachmanson, Lev Robertson, George Carlson, Jonathan M. Heckerman, David Bioinformatics Applications Note Summary: Evolutionary biologists are often interested in finding correlations among biological traits across a number of species, as such correlations may lead to testable hypotheses about the underlying function. Because some species are more closely related than others, computing and visualizing these correlations must be done in the context of the evolutionary tree that relates species. In this note, we introduce PhyloDet (short for PhyloDetective), an evolutionary tree visualization tool that enables biologists to visualize multiple traits mapped to the tree. Availability: http://research.microsoft.com/cue/phylodet/ Contact: bongshin@microsoft.com. Oxford University Press 2009-10-01 2009-07-24 /pmc/articles/PMC2752614/ /pubmed/19633096 http://dx.doi.org/10.1093/bioinformatics/btp454 Text en http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Lee, Bongshin
Nachmanson, Lev
Robertson, George
Carlson, Jonathan M.
Heckerman, David
PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees
title PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees
title_full PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees
title_fullStr PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees
title_full_unstemmed PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees
title_short PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees
title_sort phylodet: a scalable visualization tool for mapping multiple traits to large evolutionary trees
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2752614/
https://www.ncbi.nlm.nih.gov/pubmed/19633096
http://dx.doi.org/10.1093/bioinformatics/btp454
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