Data Analysis
The Analytics module applies statistical and algorithmic tools such as customized analytics, curvilinear graphs, statistical significance, to translate the phenotypic and genotypic data generated into intelligent decisions.
The platform integrates various measuring and visualization kits to query and analyze data during research phases. The analysis module presents quantitative and qualitative trait distributions, multivariate analysis, clustering, heat-maps, pedigree overlays with multiple phenotypes (or markers), combining ability, genotype by the environment, idiosyncratic heritability, statistical tests (T-test, F-test, analysis of variance), correlations, and more. Based on the R project for statistical computing, the analytics provide a rich repertoire of easily invoked tools.
Query results can be saved and accessed later, promoting team collaborations.
