WOMBAT statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Association mapping chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

WOMBAT specifications

Information


Unique identifier OMICS_24672
Name WOMBAT
Software type Application/Script
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Programming languages Fortran
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


Add your version

Maintainer


  • person_outline Karin Meyer <>

Additional information


http://didgeridoo.une.edu.au/km/WOMBAT/WWW/manual.html http://didgeridoo.une.edu.au/womwiki/doku.php

Publication for WOMBAT

WOMBAT in publications

 (5)
PMCID: 5022708
PMID: 27785352
DOI: 10.5256/f1000research.7623.r10607

[…] use an asymptotic approximation for the the parametric sampling distribution of the estimated g-matrix to generate samples and estimate error, a method called mvn-reml available in the program wombat ; (iii) in a fully bayesian context, samples from the posterior distribution of the g-matrix can be used. these samples can then be used to calculate repeatabilities or confidence intervals […]

PMCID: 4207895
PMID: 25927468
DOI: 10.1186/s12711-014-0061-9

[…] pair/parent-offspring trio structure. the number of iterations in beagle was set to 30. pre- and post-analysis data manipulation was done with r [] and sweave []. reml analyses were carried out with wombat []., table summarises the results for all phenotypic traits across breeds for the following parameters: number of observations, mean, standard deviation and number of animals […]

PMCID: 4211878
PMID: 24531419
DOI: 10.1038/nmeth.2848

[…] mvlmms is computationally non-trivial, involving a multi-dimensional optimization for a potentially non-convex function. current algorithms for fitting a single mvlmm (implemented in software gcta,, wombat, asreml) employ two types of optimization algorithm: an initial expectation-maximization-like (em) algorithm, followed by a newton-raphson-like (nr) algorithm. this combines the benefits […]

PMCID: 3557447
PMID: 23362462
DOI: 10.1038/srep01163

[…] using the bh method by mt.rawp2adjp function in r (http://faculty.mssm.edu/gey01/multtest/multtest-manual.pdf). heritability and its estimation accuracy were calculated using ai-reml algorithm by wombat (didgeridoo.une.edu.au/km/wombat.php)., w.c., h.m., p.s. and y.z. contributed to the initial design of this project. h.m., p.s., h.w. and y.z. collected samples. z.s., f.t., g.w., h.w., h.z., […]

PMCID: 3548741
PMID: 23181486
DOI: 10.1186/1297-9686-44-35

[…] the only difference between the two models was the modelling of breeding values and additive genetic variance; fixed effects were the same for the two models. all analyses were carried out using the wombat software [], separately for each trait and breed. a more detailed description of the two models follows:, ∙ multiple-trait model, the multiple-trait across country evaluation (mace) [] […]


To access a full list of publications, you will need to upgrade to our premium service.

WOMBAT institution(s)
Animal Genetics and Breeding Unit, University of New England, Armidale, NSW, Australia

WOMBAT reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review WOMBAT