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Description

Infers a species network(s) with a specified number of reticulation nodes using maximum likelihood where K-fold cross-validation is used to account for model complexity. Only topologies of gene trees are used in the inference. 

Usage

Code Block
langhtml
InferNetwork_mlcv (gene_tree_ident1 [, gene_tree_ident2...|, gene_tree_ident2...]) numReticulations [-cv numFolds] [-a taxa map] [-b threshold] [-s startingNetwork] [-h {s1 [,s2...]}] [-w (w1,w2,w3,w4)] [-f maxFailure] [-x numRuns] [-m maxNetExamined] [-d maxDiameter] [-p (rel,abs)] [-r maxRounds] [-t maxTryPerBr] [-i improveThreshold] [-l maxBL] [-pl numProcessors] [-di] [result output file]

...

See command InferNetwork_ML for all other parameters.

Examples

Code Block
langhtml
#NEXUS

BEGIN TREES;

TREE gt0 = (D:7.07072,((C:3.56753,B:3.56753):1.76822,A:5.33575):1.73497);
TREE gt1 = (((B:1.97661,C:1.97661):2.23864,A:4.21524):1.77987,D:5.99511);
TREE gt2 = ((C:4.31675,(B:3.14621,A:3.14621):1.17054):2.09695,D:6.4137);
TREE gt3 = ((D:5.83927,A:5.83927):0.566624,(B:1.80987,C:1.80987):4.59603);
TREE gt4 = ((D:5.77537,(B:1.77451,C:1.77451):4.00086):0.810136,A:6.58551);
TREE gt5 = (D:6.80413,(A:3.82444,(C:2.31671,B:2.31671):1.50773):2.97969);
TREE gt6 = (D:7.61541,(C:4.41986,(A:2.52336,B:2.52336):1.8965):3.19554);
TREE gt7 = ((A:4.99068,(C:3.03372,B:3.03372):1.95696):0.782212,D:5.77289);
TREE gt8 = (D:5.95232,((C:1.86462,B:1.86462):3.20304,A:5.06765):0.88467);
TREE gt9 = ((A:3.84332,(C:3.74007,B:3.74007):0.103251):4.82743,D:8.67075);
TREE gt10 = ((A:4.19291,(C:1.73235,B:1.73235):2.46056):2.60752,D:6.80043);
TREE gt11 = (A:7.35563,((B:1.7592,C:1.7592):4.0683,D:5.8275):1.52813);
TREE gt12 = (((B:3.14432,A:3.14432):0.613233,C:3.75755):1.95882,D:5.71638);
TREE gt13 = (((C:2.6677,B:2.6677):2.66994,A:5.33764):4.71766,D:10.0553);
TREE gt14 = ((C:4.00286,(B:3.0957,A:3.0957):0.907165):1.94607,D:5.94893);
TREE gt15 = (D:5.89168,(A:3.77037,(B:2.13754,C:2.13754):1.63283):2.12131);
TREE gt16 = (D:6.43412,(A:3.85214,(B:2.6542,C:2.6542):1.19794):2.58198);
TREE gt17 = (D:6.27103,((B:1.80021,C:1.80021):1.91286,A:3.71307):2.55796);
TREE gt18 = (((C:1.72131,B:1.72131):4.04022,A:5.76154):2.49476,D:8.25629);
TREE gt19 = (((B:1.8262,C:1.8262):2.49809,A:4.32429):3.80882,D:8.13311);
TREE gt20 = (D:6.95436,((B:2.60072,C:2.60072):1.85771,A:4.45842):2.49594);

END;


BEGIN PHYLONET;

InferNetwork_MLCV (gt0,gt1,gt2,gt3,gt4,gt5,gt6,gt7,gt8,gt9,gt10,gt11,gt12,gt13,gt14,gt15,gt16,gt17,gt18,gt19,gt20) 3 -x 5;

END;

 

 

Command References

  • Y. Yu, J. Dong, K. Liu, and L. Nakhleh, Probabilistic inference of reticulate evolutionary histories, Under Review.



See Also