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GiNA: High Throughput Phenotyping

Performs image segmentation in fruit or seeds pictures in order to measure physical features in a high-throughput manner for genome-wide association (GWAS) and genomic selection programs.

Version: 1.0.1
Depends: R (≥ 3.2.1), methods, stats, EBImage, png, parallel, doParallel, foreach
Published: 2016-04-10
DOI: 10.32614/CRAN.package.GiNA
Author: Luis Diaz-Garcia and Giovanny Covarrubias-Pazaran, with collaborations of Brandon Schlautman, Walter Salazar and Juan Zalapa.
Maintainer: Giovanny Covarrubias-Pazaran <covarrubiasp at wisc.edu>
License: GPL-3
URL: http://www.wisc.edu
NeedsCompilation: no
Citation: GiNA citation info
CRAN checks: GiNA results

Documentation:

Reference manual: GiNA.pdf

Downloads:

Package source: GiNA_1.0.1.tar.gz
Windows binaries: r-devel: GiNA_1.0.1.zip, r-release: GiNA_1.0.1.zip, r-oldrel: GiNA_1.0.1.zip
macOS binaries: r-release (arm64): GiNA_1.0.1.tgz, r-oldrel (arm64): GiNA_1.0.1.tgz, r-release (x86_64): GiNA_1.0.1.tgz, r-oldrel (x86_64): GiNA_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GiNA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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