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queeems

This is the development version of queeems; to use it, please install the devel version of Bioconductor.

Quantify the Extent of Evolutionary Evidence in Molecular Sequences


Bioconductor version: Development (3.23)

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.

Author: Hassan Sadiq [aut, cre, cph, fnd] ORCID iD ORCID: 0000-0003-0192-7134

Maintainer: Hassan Sadiq <hassan.t.sadiq at gmail.com>

Citation (from within R, enter citation("queeems")):

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("queeems")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Alignment, Bayesian, Classification, DataImport, Genetics, MathematicalBiology, ResearchField, SequenceMatching, Sequencing, Software, StatisticalMethod, WorkflowStep
Version 0.99.7
In Bioconductor since BioC 3.23 (R-4.6)
License GPL-3 + file LICENSE
Depends R (>= 4.6.0), Biostrings
Imports gtools, Matrix, methods, stats
System Requirements
URL https://github.com/thsadiq/queeems
Bug Reports https://github.com/thsadiq/queeems/issues
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Suggests BiocStyle, knitr, testthat (>= 3.0.0)
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
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Source Repository git clone https://git.bioconductor.org/packages/queeems
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/queeems
Package Short Url https://bioconductor.org/packages/queeems/
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