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Scikit-bio: a fundamental Python library for biological omic data analysis

Title:	Scikit-bio: a fundamental Python library for biological omic data analysis
Authors:	Aton, Matthew^Aff1; McDonald, Daniel^Aff2; Cañardo Alastuey, Jorge^{Aff3, Aff15}; Azom, Raeed^Aff1; Batra, Paarth^Aff1; Bezshapkin, Valentyn^Aff4; Bolyen, Evan^Aff5; Cagle, Alexander^Aff2; Caporaso, J. Gregory^Aff5; Debelius, Justine W.^{Aff2, Aff16}; Gorlick, Kestrel^Aff5; Hamsanipally, Nirmitha^Aff1; Hunger, Lars^Aff6; Keluskar, Aryan^Aff1; Liao, Disen^Aff7; Lu, Yang Young^{Aff7, Aff8}; Navas-Molina, Jose A.^{Aff2, Aff9, Aff17}; Pitman, Anders^{Aff5, Aff18}; Rideout, Jai Ram^{Aff5, Aff19}; Sazonov, Anton^Aff1; Sathappan, Bharath^Aff2; Schwarzberg Lipson, Karen^{Aff5, Aff20}; Sfiligoi, Igor^Aff10; Tapo, Chris^{Aff1, Aff21}; Vázquez-Baeza, Yoshiki^{Aff11, Aff22}; Wu, Zijun^Aff1; Xu, Zhenjiang Zech^{Aff2, Aff23}; Ye, Mingsong Sam^Aff12; Zhao, Jianshu^Aff2; Knight, Rob^{Aff2, Aff9, Aff11, Aff13, IDs4159202502981z_cor1}; Morton, James T.^{Aff6, IDs4159202502981z_cor2}; Zhu, Qiyun^{Aff1, Aff14, IDs4159202502981z_cor3}
Source:	Nature Methods: Techniques for life scientists and chemists. 23(2):274-276
Database:	Springer Nature Journals