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cff-version: 1.2.0
message: 'To cite package "queeems" in publications use:'
type: software
license: GPL-3.0-only
title: 'queeems: Quantify the Extent of Evolutionary Evidence in Molecular Sequences'
version: 1.1.0
doi: 10.18129/B9.bioc.queeems
identifiers:
- type: doi
  value: 10.32614/CRAN.package.queeems
abstract: 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.
authors:
- family-names: Sadiq
  given-names: Hassan
  email: hassan.t.sadiq@gmail.com
  orcid: https://orcid.org/0000-0003-0192-7134
preferred-citation:
  type: manual
  title: 'queeems: Quantify the Extent of Evolutionary Evidence in Molecular Sequences'
  authors:
  - family-names: Sadiq
    given-names: Hassan
    email: hassan.t.sadiq@gmail.com
    orcid: https://orcid.org/0000-0003-0192-7134
  notes: Bioconductor/R Package
  year: '2026'
  doi: 10.18129/B9.bioc.queeems
repository: https://bioc.r-universe.dev
repository-code: https://github.com/thsadiq/queeems
commit: 54d1ec1b37ed1e581a5b410e73cbefc218e9df26
url: https://github.com/thsadiq/queeems
date-released: '2025-04-28'
contact:
- family-names: Sadiq
  given-names: Hassan
  email: hassan.t.sadiq@gmail.com
  orcid: https://orcid.org/0000-0003-0192-7134