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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

GenoBrew — Interactive Marker Panel Evaluation and CNV Visualization

GitHub: Breeding-Insight/GenoBrew

Feature Description
Marker Panel Tests Test marker panel performance with historical data
Interactive filters Markers basic filters
CNV profiles Interactive visualization of Qploidy2 CNV profiles results
CNV hotspots Find copy number variation hostspots in the genome

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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