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

Downloads:

Reference manual: GiNA.pdf
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
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: GiNA_1.0.1.tgz

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