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snpAIMeR: Assess the Diagnostic Power of Genomic Marker Combinations

Population genetics package for designing diagnostic panels. Candidate markers, marker combinations, and different panel sizes are assessed for how well they can predict the source population of known samples. Requires a genotype file of candidate markers in STRUCTURE format. Methods for population cross-validation are described in Jombart (2008) <doi:10.1093/bioinformatics/btn129>.

Version: 2.1.1
Depends: R (≥ 2.10)
Imports: adegenet, doParallel, dplyr, forcats, foreach, ggplot2, graphics, magrittr, parallel, readr, tidyr, utils, withr, yaml
Suggests: testthat (≥ 3.0.0)
Published: 2024-02-20
Author: Kim Vertacnik ORCID iD [cre, aut], Oksana Vernygora ORCID iD [aut], Julian Dupuis ORCID iD [aut]
Maintainer: Kim Vertacnik <kim.vertacnik at mailbox.org>
Contact: Kim Vertacnik <kim.vertacnik@mailbox.org> or Julian Dupuis <julian.dupuis@uky.edu>
License: MIT + file LICENSE
URL: https://github.com/OksanaVe/snpAIMeR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: snpAIMeR results

Documentation:

Reference manual: snpAIMeR.pdf

Downloads:

Package source: snpAIMeR_2.1.1.tar.gz
Windows binaries: r-devel: snpAIMeR_2.1.1.zip, r-release: snpAIMeR_2.1.1.zip, r-oldrel: snpAIMeR_2.1.1.zip
macOS binaries: r-release (arm64): snpAIMeR_2.1.1.tgz, r-oldrel (arm64): snpAIMeR_2.1.1.tgz, r-release (x86_64): snpAIMeR_2.1.1.tgz, r-oldrel (x86_64): snpAIMeR_2.1.1.tgz
Old sources: snpAIMeR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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