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grayleafspotr

This is the development version of grayleafspotr; to use it, please install the devel version of Bioconductor.

Quantitative Analysis of Gray Leaf Spot Colonies from Plate Images


Bioconductor version: Development (3.24)

Quantitative phenotyping of gray leaf spot (Magnaporthe oryzae) fungal colonies grown on petri dishes. The package segments colonies from time-lapse plate photographs using a bundled SmallUNet deep-learning model, extracts morphometric and texture features (area, eccentricity, crack coverage, radial profile), and provides tidy result objects together with template ggplot2 visualisations. Python dependencies are managed automatically through basilisk; no manual environment setup is required.

Author: Rohan R [aut, cre, cph] ORCID iD ORCID: 0009-0005-9225-1775

Maintainer: Rohan R <phonics-tiffs1i at icloud.com>

Citation (from within R, enter citation("grayleafspotr")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("grayleafspotr")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("grayleafspotr")
Getting Started with grayleafspotr HTML R Script
grayleafspotr Workflow HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Classification, FeatureExtraction, Preprocessing, Software, Visualization
Version 0.99.12
In Bioconductor since BioC 3.24 (R-4.6)
License Apache License (>= 2.0) | file LICENSE
Depends R (>= 4.6.0)
Imports basilisk, reticulate, dplyr, ggplot2, jsonlite, readr, tibble, png, BiocFileCache, EBImage, stats
System Requirements
URL https://rotsl.github.io/grayleafspotr https://github.com/rotsl/grayleafspotr
Bug Reports https://github.com/rotsl/grayleafspotr/issues
See More
Suggests knitr, rmarkdown, pkgdown, magick, jpeg, tiff, testthat (>= 3.0.0), BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package grayleafspotr_0.99.12.tar.gz
Windows Binary (x86_64) grayleafspotr_0.99.12.zip (64-bit only)
macOS Binary (big-sur-x86_64) grayleafspotr_0.99.12.tgz
macOS Binary (sonoma-arm64) grayleafspotr_0.99.12.tgz
Source Repository git clone https://git.bioconductor.org/packages/grayleafspotr
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/grayleafspotr
Bioc Package Browser https://code.bioconductor.org/browse/grayleafspotr/
Package Short Url https://bioconductor.org/packages/grayleafspotr/
Package Downloads Report Download Stats