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queeems

This is the released version of queeems; for the devel version, see queeems.

All versions 3.24 (devel), 3.23 (release)

Quantify the Extent of Evolutionary Evidence in Molecular Sequences


Bioconductor version: Release (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")):

Hassan Sadiq. queeems: Quantify the Extent of Evolutionary Evidence in Molecular Sequences. doi:10.18129/B9.bioc.queeems, R package version 1.0.0, https://bioconductor.org/packages/queeems.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

BiocManager::install("queeems")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("queeems")
queeems Tutorial HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Alignment, Bayesian, Classification, DataImport, Genetics, MathematicalBiology, ResearchField, SequenceMatching, Sequencing, Software, StatisticalMethod, WorkflowStep
Version1.0.0
In Bioconductor sinceBioC 3.23 (R-4.6) (< 6 months)
License GPL-3 + file LICENSE
Depends R (>= 4.5.0), Biostrings
Imports gtools, Matrix, methods, stats
System Requirements
URLhttps://github.com/thsadiq/queeems
Bug Reportshttps://github.com/thsadiq/queeems/issues
See More
Suggests BiocStyle, knitr, testthat (>= 3.0.0)
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Depends On Me
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package queeems_1.0.0.tar.gz
Windows Binary (x86_64) queeems_1.0.0.zip
macOS Binary (big-sur-x86_64) queeems_1.0.0.tgz
macOS Binary (sonoma-arm64) queeems_1.0.0.tgz
Source Repositorygit 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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