Weighted Statistical Binning statistics

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Weighted Statistical Binning specifications

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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
Requirements
Dendropy
Maintained Yes

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  • person_outline Tandy Warnow

Publication for Weighted Statistical Binning

Weighted Statistical Binning citations

 (2)
library_books

Multilocus inference of species trees and DNA barcoding

2016
PMCID: 4971187
PMID: 27481787
DOI: 10.1098/rstb.2015.0335

[…] oncatenation 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 out as […]

library_books

The Interrelationships of Placental Mammals and the Limits of Phylogenetic Inference

2016
Genome Biol Evol
PMCID: 4779606
PMID: 26733575
DOI: 10.1093/gbe/evv261

[…] further tested the robustness of our phylogeny through the use of ASTRAL-2 (), a coalescent-based species tree estimation method that is robust to the presence of ILS (). We also explored the use of weighted statistical binning (; ), a technique designed to improve species tree estimation when gene trees have poor resolution. Thus, we used ASTRAL with and without weighted statistical binning, app […]


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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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