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
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.