An implementation of the full-likelihood Bayes factor (FLB)
    for evaluating segregation evidence in clinical medical genetics. The
    method was introduced by Thompson et al. (2003) <doi:10.1086/378100>.
    This implementation supports custom penetrance values and liability
    classes, and allows visualisations and robustness analysis as
    presented in Ratajska et al. (2023) <doi:10.1002/mgg3.2107>. See also the 
    online app 'shinyseg', <https://chrcarrizosa.shinyapps.io/shinyseg>, which 
    offers interactive segregation analysis with many additional features 
    (Carrizosa et al. (2024) <doi:10.1093/bioinformatics/btae201>).

Provides tests for segregation distortion in F1 
    polyploid populations under different assumptions of meiosis. 
    These tests can account for double reduction, partial preferential pairing,
    and genotype uncertainty through the use of genotype likelihoods. 
    Parallelization support is provided. Details of these methods are 
    described in Gerard et al. (2025a) <doi:10.1007/s00122-025-04816-z>
    and Gerard et al. (2025b) <doi:10.1101/2025.06.23.661114>.
    Part of this material is based upon work supported by the
    National Science Foundation under Grant No. 2132247.  The
    opinions, findings, and conclusions or recommendations expressed
    are those of the author and do not necessarily reflect the views
    of the National Science Foundation.

Implementation of the original Sequence Globally Unique Identifier (SEGUID) algorithm [Babnigg and Giometti (2006) <doi:10.1002/pmic.200600032>] and SEGUID v2 (<https://www.seguid.org>), which extends SEGUID v1 with support for linear, circular, single- and double-stranded biological sequences, e.g. DNA, RNA, and proteins.

A very nice interface to Princeton's 'WordNet' without 'rJava' dependency. 'WordNet' data is not included. Princeton University makes 'WordNet' available to research and commercial users free of charge provided the terms of their license (<https://wordnet.princeton.edu/license-and-commercial-use>) are followed, and proper reference is made to the project using an appropriate citation (<https://wordnet.princeton.edu/citing-wordnet>).