SNPfiltR: Interactively Filter SNP Datasets
Is designed to interactively and reproducibly visualize and filter SNP
(single-nucleotide polymorphism) datasets. This R-based implementation of SNP
and genotype filters facilitates
an interactive and iterative SNP filtering pipeline, which can be documented
reproducibly via 'rmarkdown'. 'SNPfiltR' contains functions for visualizing
various quality and missing data metrics for a SNP dataset, and then filtering
the dataset based on user specified cutoffs.
All functions take 'vcfR' objects as input, which can easily be
generated by reading standard vcf (variant call format) files into R using
the R package 'vcfR' authored by Knaus and Grünwald (2017) <doi:10.1111/1755-0998.12549>.
Each 'SNPfiltR' function can return a newly filtered 'vcfR' object, which can then be
written to a local directory in standard vcf format using the 'vcfR' package,
for downstream population genetic and phylogenetic analyses.
| Version: |
1.0.7 |
| Depends: |
R (≥ 2.10) |
| Imports: |
vcfR, ggplot2, Rtsne, cluster, adegenet, gridExtra, ggridges, stats, graphics, utils |
| Suggests: |
rmarkdown, knitr |
| Published: |
2025-09-04 |
| DOI: |
10.32614/CRAN.package.SNPfiltR |
| Author: |
Devon DeRaad 
[aut, cre] |
| Maintainer: |
Devon DeRaad <devonderaad at gmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
SNPfiltR results |
Documentation:
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