GiNA: High Throughput Phenotyping
Version 1.0.1

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.

Browse man pages Browse package API and functions Browse package files

AuthorLuis Diaz-Garcia and Giovanny Covarrubias-Pazaran, with collaborations of Brandon Schlautman, Walter Salazar and Juan Zalapa.
Date of publication2016-04-10 00:27:50
MaintainerGiovanny Covarrubias-Pazaran <covarrubiasp@wisc.edu>
LicenseGPL-3
Version1.0.1
URL http://www.wisc.edu
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("GiNA")

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

Functions

GINA.sample Man page
GiNA Man page
brewer.pal Man page Source code
color.plot Man page Source code
cutoff Man page Source code
jet.scan Man page Source code
pixArea Man page Source code
scanCRAN Man page Source code

Files

inst
inst/CITATION
NAMESPACE
data
data/GINA.sample.RData
data/datalist
R
R/cutoff.R
R/color.plot.R
R/jet.scan.R
R/pixArea.R
R/brewer.pal.R
R/scanCRAN.R
MD5
DESCRIPTION
man
man/color.plot.Rd
man/GiNA-package.Rd
man/GINA.sample.Rd
man/scanCRAN.Rd
man/brewer.pal.Rd
man/jet.scan.Rd
man/pixArea.Rd
man/cutoff.Rd
GiNA documentation built on May 20, 2017, 5:41 a.m.