ArticleBioinformatics (Oxford, England)2023
GeneticsMakie.jl: a versatile and scalable toolkit for visualizing locus-level genetic and genomic data.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Common and rare variant genetic contributions in African Americans with autism.medRxiv : the preprint server for health sciences · 2025Article
- locuszoomr: an R package for visualizing publication-ready regional gene locus plots.Bioinformatics advances · 2025Article
- Brain cell-type shifts in Alzheimer's disease, autism, and schizophrenia interrogated using methylomics and genetics.Science advances · 2024Article
- Proteomic associations with forced expiratory volume: a Mendelian randomisation study.Respiratory research · 2024Article
- Cross-ancestry, cell-type-informed atlas of gene, isoform, and splicing regulation in the developing human brain.medRxiv : the preprint server for health sciences · 2023Article
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Authors and funding
5 authors.
Funding
Abstract
summaryWith the continued deluge of results from genome-wide association and functional genomic studies, it has become increasingly imperative to quickly combine and visualize different layers of genetic and genomic data within a given locus to facilitate exploratory and integrative data analyses. While several tools have been developed to visualize locus-level genetic results, the limited speed, scalability and flexibility of current approaches remain a significant bottleneck. Here, we present a Julia package for high-performance genetics and genomics-related data visualization that enables fast, simultaneous plotting of hundreds of association results along with multiple relevant genomic annotations. Leveraging the powerful plotting and layout utilities from Makie.jl facilitates the customization and extensibility of every component of a plot, enabling generation of publication-ready figures. AVAILABILITY AND IMPLEMENTATION: The GeneticsMakie.jl package is open source and distributed under the MIT license via GitHub (https://github.com/mmkim1210/GeneticsMakie.jl). The GitHub repository contains installation instructions as well as examples and documentation for built-in functions. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.