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GiNA  

High Throughput Phenotyping
View on CRAN: Click here


Download and install GiNA package within the R console
Install from CRAN:
install.packages("GiNA")

Install from Github:
library("remotes")
install_github("cran/GiNA")

Install by package version:
library("remotes")
install_version("GiNA", "1.0.1")



Attach the package and use:
library("GiNA")
Maintained by
Giovanny Covarrubias-Pazaran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-10
Latest Update: 2016-04-10
Description:
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.
How to cite:
Giovanny Covarrubias-Pazaran (2016). GiNA: High Throughput Phenotyping. R package version 1.0.1, https://cran.r-project.org/web/packages/GiNA. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.0.1 (2016-04-10 00:27)
Other packages that cited GiNA R package
View GiNA citation profile
Other R packages that GiNA depends, imports, suggests or enhances
Complete documentation for GiNA
Functions, R codes and Examples using the GiNA R package
Some associated functions: GINA.sample . GiNA-package . brewer.pal . color.plot . cutoff . jet.scan . pixArea . scanCRAN . 
Some associated R codes: brewer.pal.R . color.plot.R . cutoff.R . jet.scan.R . pixArea.R . scanCRAN.R .  Full GiNA package functions and examples
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