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queeems

Quantify the Extent of Evolutionary Evidence in Molecular Sequences

Bioconductor version: 3.23 · Package version: 1.0.0

Biological inferences obtained from molecular data are only as good as the extent of evolutionary signatures retained in the genetic data. Techniques available to quantify these signatures are largely targeted towards phylogeny reconstruction and they often rely on adhoc hypothesis tests of significance. I present a Bayesian function that assesses whether a set of genetic sequences are saturated. That is, it is useful for determining whether the evolutionary information in the sequences has eroded with time. Site specific Bayes factors are generated with respect to codon bases to allow for straightforward applications in extensive computational biology inquiries, including natural selection analyses.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("queeems")

Details

MaintainerHassan Sadiq <hassan.t.sadiq@gmail.com>
AuthorHassan Sadiq [aut, cre, cph, fnd] (ORCID: <https://orcid.org/0000-0003-0192-7134>)
LicenseGPL-3 + file LICENSE
URLhttps://github.com/thsadiq/queeems
Bug Reportshttps://github.com/thsadiq/queeems/issues
Downloads rank38
Source branchRELEASE_3_23
biocViewsAlignment, Bayesian, Classification, DataImport, Genetics, MathematicalBiology, ResearchField, SequenceMatching, Sequencing, Software, StatisticalMethod, WorkflowStep

Documentation

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Dependencies

Depends: R (>= 4.5.0), Biostrings

Imports: gtools, Matrix, methods, stats

Suggests: BiocStyle, knitr, testthat (>= 3.0.0)