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Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data

Title:	Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data
Authors:	Idkowiak, Jakub^{Aff1, Aff2}; Dehairs, Jonas^Aff2; Schwarzerová, Jana^{Aff3, Aff4, Aff5}; Olešová, Dominika^{Aff6, Aff7}; Truong, Jacob X. M.^{Aff8, Aff9}; Kvasnička, Aleš^{Aff10, Aff11}; Eftychiou, Marios^{Aff12, Aff13, Aff14, Aff15}; Cools, Ruben^{Aff12, Aff13, Aff14}; Spotbeen, Xander^Aff2; Jirásko, Robert^Aff1; Veseli, Vullnet^Aff1; Giampà, Marco^{Aff16, Aff17}; de Laat, Vincent^Aff2; Butler, Lisa M.^{Aff8, Aff9}; Weckwerth, Wolfram^{Aff4, Aff18}; Friedecký, David^Aff10; Demeulemeester, Jonas^{Aff12, Aff13, Aff14}; Hron, Karel^Aff19; Swinnen, Johannes V.^Aff2; Holčapek, Michal^{Aff1, IDs41467025637511_cor1}
Source:	Nature Communications. 16(1)
Database:	Springer Nature Journals