Package: GiNA 1.0.1

Giovanny Covarrubias-Pazaran

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.

Authors:Luis Diaz-Garcia and Giovanny Covarrubias-Pazaran, with collaborations of Brandon Schlautman, Walter Salazar and Juan Zalapa.

GiNA_1.0.1.tar.gz
GiNA_1.0.1.tar.gz(r-4.5-noble)GiNA_1.0.1.tar.gz(r-4.4-noble)
GiNA_1.0.1.tgz(r-4.4-emscripten)GiNA_1.0.1.tgz(r-4.3-emscripten)
GiNA.pdf |GiNA.html✨
GiNA/json (API)

# Install 'GiNA' in R:
install.packages('GiNA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 8 scripts 125 downloads 3 mentions 6 exports 43 dependencies

Last updated 9 years agofrom:99903e4bae. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-linuxNOTENov 06 2024

Exports:brewer.palcolor.plotcutoffjet.scanpixAreascanCRAN

Dependencies:abindbase64encBiocGenericsbitopsbslibcachemclicodetoolsdigestdoParallelEBImageevaluatefastmapfftwtoolsfontawesomeforeachfsgenericsgluehighrhtmltoolshtmlwidgetsiteratorsjpegjquerylibjsonliteknitrlatticelifecyclelocfitmemoisemimepngR6rappdirsRCurlrlangrmarkdownsasstifftinytexxfunyaml