All papers authored by Martina Kutmon
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2022
Zhixu Ni 
,
Michele Wölk ,
Geoff Jukes,
Karla Mendivelso Espinosa,
Robert Ahrends ,
Lucila Aimo ,
Jorge Alvarez-Jarreta ,
Simon Andrews ,
Robert Andrews,
Alan Bridge,
Geremy C. Clair ,
Matthew J. Conroy ,
Eoin Fahy,
Caroline Gaud ,
Laura Goracci
and 19 other authors
,
Michele Wölk ,
Geoff Jukes,
Karla Mendivelso Espinosa,
Robert Ahrends ,
Lucila Aimo ,
Jorge Alvarez-Jarreta ,
Simon Andrews ,
Robert Andrews,
Alan Bridge,
Geremy C. Clair ,
Matthew J. Conroy ,
Eoin Fahy,
Caroline Gaud ,
Laura Goracci
and 19 other authors
Guiding the choice of informatics software and tools for lipidomics research applications
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Michaela Sochorová ,
Kateřina Vávrová ,
Maria Fedorova ,
Zhixu Ni ,
Denise Slenter ,
Martina Kutmon ,
Egon L. Willighagen ,
Sophia Letsiou ,
Daniel Töröcsik ,
Martina Marchetti-Deschmann ,
Samuele Zoratto ,
Christopher Kremslehner ,
Florian Gruber
,
Kateřina Vávrová ,
Maria Fedorova ,
Zhixu Ni ,
Denise Slenter ,
Martina Kutmon ,
Egon L. Willighagen ,
Sophia Letsiou ,
Daniel Töröcsik ,
Martina Marchetti-Deschmann ,
Samuele Zoratto ,
Christopher Kremslehner ,
Florian Gruber
Research Techniques Made Simple: Lipidomic Analysis in Skin Research
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2021
Han Jin ,
Pieter Goossens ,
Peter Juhasz ,
Wouter Eijgelaar ,
Marco Manca ,
Joël M. H. Karel ,
Evgueni Smirnov ,
Cornelis J. J. M. Sikkink ,
Barend M. E. Mees ,
Olivia Waring ,
Kim van Kuijk ,
Gregorio E. Fazzi ,
Marion J. J. Gijbels ,
Martina Kutmon ,
Chris T. A. Evelo
and 5 other authors
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,
Pieter Goossens ,
Peter Juhasz ,
Wouter Eijgelaar ,
Marco Manca ,
Joël M. H. Karel ,
Evgueni Smirnov ,
Cornelis J. J. M. Sikkink ,
Barend M. E. Mees ,
Olivia Waring ,
Kim van Kuijk ,
Gregorio E. Fazzi ,
Marion J. J. Gijbels ,
Martina Kutmon ,
Chris T. A. Evelo
and 5 other authors
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2016
Yang Zhang,
M. Linger,
Bahman Afsari,
Hill Sm,
Adrian Bivol,
Daniel E. Carlin,
Thomas Cokelaer,
Alberto de la Fuente,
Heiser Lm,
Alexander J. Bisberg,
Rami Al-Ouran,
Bernat Anton,
Tomasz Arodz,
Omid Askari Sichani,
Ludmila V. Danilova
and 130 other authors
Inferring causal molecular networks: empirical assessment through a community-based effort
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