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>
License: GPL-3
NeedsCompilation: no
Citation: GiNA citation info
CRAN checks: GiNA results


Reference manual: GiNA.pdf


Package source: GiNA_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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