Apply the TINNIK algorithm of ABMR24;textualMSCquartets (see also ABMR22;textualMSCquartets) to infer a tree of blobs for the species network from a collection of gene trees, under the network multispecies coalescent (NMSC) model.
TINNIK(
genedata,
omit = FALSE,
epsilon = 0,
test = "T3",
alpha = 0.05,
beta = 0.95,
treemethod = fastme.bal,
delta = 2,
taxanames = NULL,
plot = TRUE
)output (returned invisibly), with output$ToB the TINNIK tree of blobs, output$pTable
the table of quartets and p-values for judging fit to the MSC on quartet
trees, and output$Bquartets a TRUE/FALSE indicator vector of B-quartets; if alpha, beta are vectors, output$ToB is a vector of trees;
the table can be used as input to TINNIK or TINNIKdist with new choices of alpha, beta, without re-tallying quartets on
gene trees
gene tree data that may be supplied in any of 3 forms:
as a character string giving the name of a file containing Newick gene trees,
as a multiPhylo object containing the gene trees, or
as a table of quartets on the gene trees, as produced by a previous call to
TINNIK or quartetTableResolved, which has columns only for taxa, resolved quartet counts,
and possibly p_T3, p_cut, and p_star
FALSE to treat unresolved quartets as 1/3 of each resolution;
TRUE to discard unresolved quartet data; ignored if gene tree data given as quartet table
minimum for branch lengths to be treated as non-zero; ignored if gene tree data given as quartet table
a hypothesis test to perform, either "cut" or "T3" (default)
a value or vector of significance levels for judging p-values for test specified by "test"; testing a null hypothesis of no hybridization vs. an alternative of hybridization, for each quartet; a smaller value applies a less conservative test for a tree (more trees), hence a stricter requirement for deciding in favor of hybridization (fewer reticulations)
a value or vector of significance levels for judging p-values testing
a null hypothesis of a star tree (polytomy) for each quartet vs. an alternative of anything else; a smaller value applies a less conservative
test for a star tree (more polytomies), hence a stricter requirement for deciding in favor of a resolved tree or network;
if vectors, alpha and beta must have the same length
a function implementing a method of tree inference from a distance table, e.g. the ape package's fastme.bal or nj
a minimum edge length to retain in tree of blobs (see ABMR24MSCquartets for related theory); shorter edges are collapsed
if genedata is a file or a multiPhylo object, a vector of a subset
of the taxa names on the gene trees
to be analyzed, if NULL all taxa on the first gene tree are used; if genedata
is a quartet table, this argument is ignored and all taxa in the table are used
TRUE produces simplex plots of hypothesis test results and plots the tree of blobs FALSE omits plots
This function
counts displayed quartets across gene trees to form quartet count concordance factors (qcCFs),
applies appropriate hypothesis tests to judge qcCFs as representing putative hybridization,
resolved trees, or unresolved (star) trees using alpha and beta as significance levels,
produces a simplex plot showing results of the hypothesis tests for all qcCFs
computes the appropriate TINNIK distance table, and infers the tree of blobs from the distance.
A call of TINNIK with genedata given as a table previously output from TINNIK is
equivalent to a call of TINNIKdist followed by tree construction from the distance table.
If genedata is a
table previously output from quartetTableResolved
which lacks columns of p-values for hypothesis tests, these will be appended to the table output by TINNIK.
This table must contain a row with quartet counts for every 4 taxon set.
If plots are produced, there are 2 simplex plots: The first shows the hypothesis test results, and the second shows inferred B-quartets and T-quartets. In both, each point in the simplex plot corresponds to an empirical quartet concordance factor, color-coded to represent test or inference results.
In general, alpha should be chosen to be small and beta
to be large so that most quartets are interpreted as resolved trees. More quartets judges to have
either blob or unresolved relationships will lead to a less resolved blob tree.
Usually, an initial call to TINNIK will not give a good analysis, as values
of alpha and beta are likely to need some adjustment based on inspecting the data. Saving the returned
table of test results from TINNIK will allow for the results of the time-consuming computation of qcCFs to be
saved, along with p-values,
for input to further calls of TINNIK with new choices of alpha and beta.
See the documentation for TINNIKdist for an explanation of a small, rarely noticeable,
stochastic element of the algorithm.
For data sets of many gene trees, user time may be reduced by using parallel code for
counting displayed quartets. See quartetTableParallel.
ABMR22MSCquartets
ABMR24MSCquartets
quartetTable, quartetTableParallel, quartetTableDominant, quartetCutTestInd,quartetTreeTestInd,
quartetStarTestInd, TINNIKdist, quartetTestPlot, pvalHist
data(pTableYeastRokas)
out=TINNIK(pTableYeastRokas, alpha=.01, beta=.05)
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