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Breedverse

Development License: Apache 2.0 R-CMD-check

Breedverse is a modular R Shiny application developed by Breeding Insight at University of Florida (UF/IFAS). It serves as a unified hub that lets users install and launch specialized breeding analysis tools — all from a single interface, with no command-line setup required.


Overview

Breedverse itself is a lightweight launcher. After installing it, users can install any combination of analysis modules directly from within the app. Each module unlocks a dedicated section in the sidebar with its own set of analysis tools.


Installation

Install Breedverse from GitHub using remotes:

# install.packages("remotes")
remotes::install_github("Breeding-Insight/Breedverse")

Then launch the app:

Breedverse::run_app()

Modules

Modules are installed from within the app via the Install Modules page. Each module is sourced from GitHub and loaded dynamically. A restart of the app is required after installation to activate the new features.

Qploidy — Ploidy Estimation

GitHub: Cristianetaniguti/Qploidy

Feature Description
Standardization Allele intensities / read counts standardization
Ploidy Estimation Sample-level ploidy inference
Aneuploidy Detection Identify chromosomal copy-number aberrations

BIGapp — Genotype Processing, Population Genomics, GWAS and GS

GitHub: Breeding-Insight/BIGapp

Category Feature
Genotype Processing Convert dosage files to VCF
Dosage Calling Off-target SNP calling with updog
Filtering VCF quality filtering
Summary Metrics Genomic diversity statistics
Population Structure PCA, DAPC
GWAS Genome-Wide Association Studies
Genomic Selection GS model fitting and prediction

Familia — Ancestry Estimation

GitHub: Breeding-Insight/familia

Mode Feature
Unsupervised SNMF — ADMIXTURE-like ancestry proportions
Supervised PolyBreedTools — reference-panel-based ancestry assignment
Ploidy Support Compatible with diploid and polyploid species

AlloMate — Optimized Mating Plans

GitHub: Breeding-Insight/AlloMate

Feature Description
Relatedness Evaluate genetic relatedness among breeding candidates
Multi-trait Index Combine EBVs across traits using user-defined weights
OCS Optimum Contribution Selection to maximize genetic gain
Mating Plans Generate feasible mating lists under kinship constraints

Requirements

  • R ≥ 3.6.0
  • Internet connection for module installation (modules are pulled from GitHub)

About Breeding Insight

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Collection of BI R packages with Shiny Interface

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