Magdalena Julkowska|Stephanie Saadé|Gaurav Agarwal|Ge Gao|Yveline Pailles|Mitchell Morton|Mariam Awlia|Mark Tester
MVApp—Multivariate Analysis Application for Streamlined Data Analysis and Curation
King Abdullah University of Science and Technology|King Abdullah University of Science and Technology|King Abdullah University of Science and Technology|King Abdullah University of Science and Technology|King Abdullah University of Science and Technology|King Abdullah University of Science and Technology|King Abdullah University of Science and Technology|King Abdullah University of Science and Technology
modern phenotyping techniques yield vast amounts data challenging manage analyze thoroughly examined type data reveal genotypetophenotype relationships meaningful connections among individual traits however efficient data mining challenging experimental biologists limited training curating integrating exploring complex datasets additionally data transparency accessibility reproducibility important considerations scientific publication need streamlined userfriendly pipeline advanced phenotypic data analysis pressing article present opensource online platform multivariate analysis mvapp serves interactive pipeline data curation indepth analysis customized visualization mvapp builds available rpackages adds extra functionalities enhance interpretability results modular design mvapp allows flexible analysis various data structures includes tools underexplored phenotypic data analysis clustering quantile regression mvapp aims enhance findable accessible interoperable reproducible data transparency streamline data curation analysis increase statistical literacy among scientific community