We introduce the concept of topology weighting, a method for quantifying relationships between taxa that are not
necessarily monophyletic, and visualizing how these relationships change across the genome. A given set of taxa can be related in a
limited number of ways, but if each taxon is represented by multiple sequences, the number of possible topologies becomes very large.
Topology weighting reduces this complexity by quantifying the contribution of each taxon topology to the full tree. We describe our
method for topology weighting by iterative sampling of subtrees (Twisst), and test it on both simulated and real genomic data. Overall,
we show that this is an informative and versatile approach, suitable for exploring relationships in almost any genomic dataset. Scripts to
implement the method described are available at http://github.com/simonhmartin/twisst.
%0 Journal Article
%1 martin2017exploring
%A Martin, Simon H.
%A Belleghem, Steven M. Van
%D 2017
%I Genetics Society of America
%J Genetics
%K along_the_genome methods species trees
%P genetics.116.194720
%R 10.1534/genetics.116.194720
%T Exploring Evolutionary Relationships Across the Genome Using Topology Weighting
%U https://doi.org/10.1534%2Fgenetics.116.194720
%X We introduce the concept of topology weighting, a method for quantifying relationships between taxa that are not
necessarily monophyletic, and visualizing how these relationships change across the genome. A given set of taxa can be related in a
limited number of ways, but if each taxon is represented by multiple sequences, the number of possible topologies becomes very large.
Topology weighting reduces this complexity by quantifying the contribution of each taxon topology to the full tree. We describe our
method for topology weighting by iterative sampling of subtrees (Twisst), and test it on both simulated and real genomic data. Overall,
we show that this is an informative and versatile approach, suitable for exploring relationships in almost any genomic dataset. Scripts to
implement the method described are available at http://github.com/simonhmartin/twisst.
@article{martin2017exploring,
abstract = {We introduce the concept of topology weighting, a method for quantifying relationships between taxa that are not
necessarily monophyletic, and visualizing how these relationships change across the genome. A given set of taxa can be related in a
limited number of ways, but if each taxon is represented by multiple sequences, the number of possible topologies becomes very large.
Topology weighting reduces this complexity by quantifying the contribution of each taxon topology to the full tree. We describe our
method for topology weighting by iterative sampling of subtrees (Twisst), and test it on both simulated and real genomic data. Overall,
we show that this is an informative and versatile approach, suitable for exploring relationships in almost any genomic dataset. Scripts to
implement the method described are available at http://github.com/simonhmartin/twisst.},
added-at = {2017-05-05T23:33:22.000+0200},
author = {Martin, Simon H. and Belleghem, Steven M. Van},
biburl = {https://www.bibsonomy.org/bibtex/2ddbe8858f9e150d4e0d3e9dcaf03880a/peter.ralph},
doi = {10.1534/genetics.116.194720},
interhash = {7283864c10cd3090c982c81df2d1c9b3},
intrahash = {ddbe8858f9e150d4e0d3e9dcaf03880a},
journal = {Genetics},
keywords = {along_the_genome methods species trees},
month = mar,
pages = {genetics.116.194720},
publisher = {Genetics Society of America},
timestamp = {2017-05-05T23:33:22.000+0200},
title = {Exploring Evolutionary Relationships Across the Genome Using Topology Weighting},
url = {https://doi.org/10.1534%2Fgenetics.116.194720},
year = 2017
}