Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study
Author(s) -
Rebeca Eriksen,
Isabel Garcia Perez,
Joram M. Posma,
Mark Haid,
Sapna Sharma,
Cornelia Prehn,
E. Louise Thomas,
Robert W. Koivula,
Roberto Bizzotto,
Cornelia Prehn,
Andrea Mari,
Giuseppe N. Giordano,
Imre Pavo,
Jochen M. Schwenk,
Federico De Masi,
Konstantinos D. Tsirigos,
Søren Brunak,
Ana Viñuela,
Anubha Mahajan,
Timothy J. McDonald,
Tarja Kokkola,
F. Rutter,
Harriet Teare,
Tue H. Hansen,
Juan Fernandez,
Angus G. Jones,
Chris Jennison,
Mark Walker,
Mark I. McCarthy,
Oluf Pedersen,
Hartmut Ruetten,
Ian Forgie,
Jimmy D. Bell,
Ewan R. Pearson,
Paul W. Franks,
Jerzy Adamski,
Elaine Holmes,
Gary Frost
Publication year - 2020
Publication title -
ebiomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.596
H-Index - 63
ISSN - 2352-3964
DOI - 10.1016/j.ebiom.2020.102932
Subject(s) - metabolite profiling , metabolite , profiling (computer programming) , computational biology , medicine , biology , bioinformatics , environmental health , computer science , operating system
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