GiNA: High Throughput Phenotyping

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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.

Author
Luis Diaz-Garcia and Giovanny Covarrubias-Pazaran, with collaborations of Brandon Schlautman, Walter Salazar and Juan Zalapa.
Date of publication
2016-04-10 00:27:50
Maintainer
Giovanny Covarrubias-Pazaran <covarrubiasp@wisc.edu>
License
GPL-3
Version
1.0.1
URLs

View on CRAN

Man pages

brewer.pal
Generate a sequence of colors for groups.
color.plot
Analyzing the digital color of objects
cutoff
Finding the optimal cutoff value for segmentation
GiNA-package
Software for high throughput phenotyping of fruit crops
GINA.sample
cranberry image
jet.scan
Assessing variability for measurements using jet plot
pixArea
Finding the average area in pixels for objects
scanCRAN
High throughput phenotyping using scanCRAN

Files in this package

GiNA
GiNA/inst
GiNA/inst/CITATION
GiNA/NAMESPACE
GiNA/data
GiNA/data/GINA.sample.RData
GiNA/data/datalist
GiNA/R
GiNA/R/cutoff.R
GiNA/R/color.plot.R
GiNA/R/jet.scan.R
GiNA/R/pixArea.R
GiNA/R/brewer.pal.R
GiNA/R/scanCRAN.R
GiNA/MD5
GiNA/DESCRIPTION
GiNA/man
GiNA/man/color.plot.Rd
GiNA/man/GiNA-package.Rd
GiNA/man/GINA.sample.Rd
GiNA/man/scanCRAN.Rd
GiNA/man/brewer.pal.Rd
GiNA/man/jet.scan.Rd
GiNA/man/pixArea.Rd
GiNA/man/cutoff.Rd