ArticleG3 (Bethesda, Md.)2015
argyle: An R Package for Analysis of Illumina Genotyping Arrays.
Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed.
- Putative Genomic Signatures of Local Adaptation in Five Local Indonesian Sheep Reveal Selection on Immunity, Reproduction, and Production Traits.Ecology and evolution · 2026Article
- Genetic mapping in collaborative cross mouse strains identifies loci that affect initial sensitivity to cocaine.Psychopharmacology · 2026Article
- Comparative Genomic Hybridization (CGH) in Genotoxicology: From the Basics to Modern Approaches.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Development and Application of MiMouse, a Comprehensive Genomic Profiling Panel for Credentialing Mouse Tumor Models.Cancer research communications · 2025Article
- Naturalized immune responses are stable over years in a colony of laboratory mice with wild-derived microbiota.Immunity · 2025Article
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- Genetic background affects the strength of crossover interference in house mice.bioRxiv : the preprint server for biology · 2024Article
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- Network analysis identifies strain-dependent response to tau and tau seeding-associated genes.The Journal of experimental medicine · 2023Article
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- Application potential of chicken DNA chip in domestic pigeon species - Preliminary results.Saudi journal of biological sciences · 2023Article
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- stuart: an R package for the curation of SNP genotypes from experimental crosses.G3 (Bethesda, Md.) · 2022Article
- Phenotypic and Genotypic Characterization and Correlation Analysis of Pea (Plants (Basel, Switzerland) · 2022Article
- Article
- Systems genetics in diversity outbred mice inform BMD GWAS and identify determinants of bone strength.Nature communications · 2021Article
- Prdm9 Intersubspecific Interactions in Hybrid Male Sterility of House Mouse.Molecular biology and evolution · 2020Article
- Mapping the Effects of Genetic Variation on Chromatin State and Gene Expression Reveals Loci That Control Ground State Pluripotency.Cell stem cell · 2020Article
- Recommendations for Choosing the Genotyping Method and Best Practices for Quality Control in Crop Genome-Wide Association Studies.Frontiers in genetics · 2020Review
- Gpr63 is a modifier of microcephaly in Ttc21b mouse mutants.PLoS genetics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Genotyping microarrays are an important and widely-used tool in genetics. I present argyle, an R package for analysis of genotyping array data tailored to Illumina arrays. The goal of the argyle package is to provide simple, expressive tools for nonexpert users to perform quality checks and exploratory analyses of genotyping data. To these ends, the package consists of a suite of quality-control functions, normalization procedures, and utilities for visually and statistically summarizing such data. Format-conversion tools allow interoperability with popular software packages for analysis of genetic data including PLINK, R/qtl and DOQTL. Detailed vignettes demonstrating common use cases are included as supporting information. argyle bridges the gap between the low-level tasks of quality control and high-level tasks of genetic analysis. It is freely available at https://github.com/andrewparkermorgan/argyle and has been submitted to Bioconductor.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.