Treffer: MVApp-Multivariate Analysis Application for Streamlined Data Analysis and Curation.

Title:
MVApp-Multivariate Analysis Application for Streamlined Data Analysis and Curation.
Authors:
Julkowska MM; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia magalena.julkowska@kaust.edu.sa., Saade S; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia., Agarwal G; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia., Gao G; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia., Pailles Y; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia., Morton M; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia., Awlia M; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia., Tester M; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Source:
Plant physiology [Plant Physiol] 2019 Jul; Vol. 180 (3), pp. 1261-1276. Date of Electronic Publication: 2019 May 06.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: American Society of Plant Biologists Country of Publication: United States NLM ID: 0401224 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2548 (Electronic) Linking ISSN: 00320889 NLM ISO Abbreviation: Plant Physiol Subsets: MEDLINE
Imprint Name(s):
Publication: : [Rockville, MD] : American Society of Plant Biologists
Original Publication: Lancaster, Pa., American Society of Plant Physiologists.
MeSH Terms:
Data Analysis* , Multivariate Analysis*, Computational Biology/*methods , Data Mining/*methods, Cluster Analysis ; Data Mining/classification ; Reproducibility of Results ; Software
Comments:
Comment in: Plant Physiol. 2019 Jul;180(3):1251-1252. doi: 10.1104/pp.19.00454. (PMID: 31253747)
References:
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Entry Date(s):
Date Created: 20190508 Date Completed: 20200831 Latest Revision: 20240229
Update Code:
20250114
PubMed Central ID:
PMC6752927
DOI:
10.1104/pp.19.00235
PMID:
31061104
Database:
MEDLINE

Weitere Informationen

Modern phenotyping techniques yield vast amounts of data that are challenging to manage and analyze. When thoroughly examined, this type of data can reveal genotype-to-phenotype relationships and meaningful connections among individual traits. However, efficient data mining is challenging for experimental biologists with limited training in curating, integrating, and exploring complex datasets. Additionally, data transparency, accessibility, and reproducibility are important considerations for scientific publication. The need for a streamlined, user-friendly pipeline for advanced phenotypic data analysis is pressing. In this article we present an open-source, online platform for multivariate analysis (MVApp), which serves as an interactive pipeline for data curation, in-depth analysis, and customized visualization. MVApp builds on the available R-packages and adds extra functionalities to enhance the interpretability of the results. The modular design of the MVApp allows for flexible analysis of various data structures and includes tools underexplored in phenotypic data analysis, such as clustering and quantile regression. MVApp aims to enhance findable, accessible, interoperable, and reproducible data transparency, streamline data curation and analysis, and increase statistical literacy among the scientific community.
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