Weighted Statistical Binning statistics

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Weighted Statistical Binning specifications


Unique identifier OMICS_25342
Name Weighted Statistical Binning
Software type Pipeline/Workflow
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Java, Python
Computer skills Advanced
Stability Stable
Maintained Yes



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  • person_outline Tandy Warnow <>

Publication for Weighted Statistical Binning

Weighted Statistical Binning in publications

PMCID: 4971187
PMID: 27481787
DOI: 10.1098/rstb.2015.0335

[…] and supertree methods that try to improve the noise/signal ratio for each supergene without assuming that gene and species trees are topologically equivalent. the latest of these methods—weighted statistical binning []—has shown interesting improvements on the accuracy of different species tree reconstruction methods., full probabilistic species tree reconstruction methods stand […]

PMCID: 4779606
PMID: 26733575
DOI: 10.1093/gbe/evv261

[…] tree for each bin. astral version 4.7.6 was run on both sets of inputs: the 11,169 unbinned gene trees, and the 2,513 supergene trees, weighting each supergene tree by size of the corresponding bin (weighted statistical binning; ; ). to test for the number of gene trees that supported each hypothesis with support above 50% or 75% threshold, we first restricted each gene tree to branches […]

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Weighted Statistical Binning institution(s)
Department of Computer Science, University of Texas at Austin, Austin, TX, USA; Laboratoire de Biométrie et Biologie Évolutive, Université de Lyon, France; Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
Weighted Statistical Binning funding source(s)
Supported by National Science Foundation (NSF) grant numbers 1461364, 0733029, and 1062335; and by Howard Hughes Medical Institutes (HHMI) graduate international student fellowship.

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