MSCquartets-package: Multispecies Coalescent Model Quartet Package
In MSCquartets: Analyzing Gene Tree Quartets under the Multi-Species Coalescent
MSCquartets-package R Documentation
Multispecies Coalescent Model Quartet Package
Description
A package for analyzing quartets displayed on gene trees, under the
multispecies coalescent (MSC) model and network multispecies coalescet model (NMSC).
Details
This package contains routines to analyze a collection of gene trees through the displayed
quartets on them.
A quartet count concordance factor (qcCF) for a set of 4 taxa is the triple of counts of the three
possible resolved quartet trees on those taxa across some set of gene trees. The major routines in this package can:
Tabulate all qcCFs for a collection of gene trees.
Perform hypothesis tests of whether one or more qcCFs are consistent with the MSC model on
a species tree \insertCiteMAR19MSCquartets.
Produce simplex plots showing all estimated CFs as well as results of hypothesis tests \insertCiteAMR2020MSCquartets.
Infer a species tree using the qcCFs via the QDC and WQDC methods \insertCiteRho19,YR19MSCquartets.
Infer a level-1 species network via the NANUQ method \insertCiteABR19MSCquartets.
Infer the tree of blobs for a species network via the TINNiK method \insertCiteABMR22MSCquartets,\insertCiteABMR24MSCquartets.
Resolove multifurcations in a tree of blobs to cycles via NANUQ+ routines \insertCiteABRW24MSCquartets.
As discussed in the cited works, the inference methods for species trees and networks are
statistically consistent under the MSC and Network MSC respectively.
This package, and the theory on which it is based, allows gene trees to have
missing taxa (i.e., not all gene trees display all the taxa). It does require
that each subset of 4 taxa is displayed on at least one of the gene trees.
Several gene tree data sets, simulated and empirical, are included.
In publications please cite the software announcement \insertCiteRBMA2020MSCquartets, as well as the
appropriate paper(s) above developing the theory behind the routines you used.
Author(s)
Maintainer: John Rhodes j.rhodes@alaska.edu (ORCID)
Authors:
Elizabeth Allman esallman@alaska.edu
Hector Banos hbassnos@gmail.com
Jonathan Mitchell jonathanmitchell88@gmail.com
Kristina Wicke kristina.wicke@njit.edu
References
\insertRefRBMA2020MSCquartets
\insertRefMAR19MSCquartets
\insertRefAMR2020MSCquartets
\insertRefRho19MSCquartets
\insertRefYR19MSCquartets
\insertRefABR19MSCquartets
\insertRefABMR22MSCquartets
\insertRefABMR24MSCquartets
\insertRefABRW24MSCquartets
MSCquartets documentation built on Oct. 31, 2024, 1:08 a.m.
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| MSCquartets-package | R Documentation |
Multispecies Coalescent Model Quartet Package
Description
A package for analyzing quartets displayed on gene trees, under the multispecies coalescent (MSC) model and network multispecies coalescet model (NMSC).
Details
This package contains routines to analyze a collection of gene trees through the displayed quartets on them.
A quartet count concordance factor (qcCF) for a set of 4 taxa is the triple of counts of the three possible resolved quartet trees on those taxa across some set of gene trees. The major routines in this package can:
Tabulate all qcCFs for a collection of gene trees.
Perform hypothesis tests of whether one or more qcCFs are consistent with the MSC model on a species tree \insertCiteMAR19MSCquartets.
Produce simplex plots showing all estimated CFs as well as results of hypothesis tests \insertCiteAMR2020MSCquartets.
Infer a species tree using the qcCFs via the QDC and WQDC methods \insertCiteRho19,YR19MSCquartets.
Infer a level-1 species network via the NANUQ method \insertCiteABR19MSCquartets.
Infer the tree of blobs for a species network via the TINNiK method \insertCiteABMR22MSCquartets,\insertCiteABMR24MSCquartets.
Resolove multifurcations in a tree of blobs to cycles via NANUQ+ routines \insertCiteABRW24MSCquartets.
As discussed in the cited works, the inference methods for species trees and networks are statistically consistent under the MSC and Network MSC respectively.
This package, and the theory on which it is based, allows gene trees to have missing taxa (i.e., not all gene trees display all the taxa). It does require that each subset of 4 taxa is displayed on at least one of the gene trees.
Several gene tree data sets, simulated and empirical, are included.
In publications please cite the software announcement \insertCiteRBMA2020MSCquartets, as well as the appropriate paper(s) above developing the theory behind the routines you used.
Author(s)
Maintainer: John Rhodes j.rhodes@alaska.edu (ORCID)
Authors:
Elizabeth Allman esallman@alaska.edu
Hector Banos hbassnos@gmail.com
Jonathan Mitchell jonathanmitchell88@gmail.com
Kristina Wicke kristina.wicke@njit.edu
References
\insertRefRBMA2020MSCquartets
\insertRefMAR19MSCquartets
\insertRefAMR2020MSCquartets
\insertRefRho19MSCquartets
\insertRefYR19MSCquartets
\insertRefABR19MSCquartets
\insertRefABMR22MSCquartets
\insertRefABMR24MSCquartets
\insertRefABRW24MSCquartets
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