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Jun Kikuchi

Showing results (1-10 of 300) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|August 30, 2019
Practical Aspects of the Analysis of Low- and High-Field NMR Data from Environmental SamplesJun Kikuchi
Methods in Molecular Biology (Clifton, N.J.)|October 13, 2006
Practical aspects of uniform stable isotope labeling of higher plants for heteronuclear NMR-based metabolomicsJun Kikuchi, Takashi Hirayama
RSC Advances|April 28, 2022
The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data scienceJun Kikuchi, Shunji Yamada
Analytical Chemistry|September 10, 2013
Comprehensive signal assignment of 13C-labeled lignocellulose using multidimensional solution NMR and 13C chemical shift comparison with solid-state NMRTakanori Komatsu, Jun Kikuchi
Analytical Chemistry|December 27, 2017
Application of a Deep Neural Network to Metabolomics Studies and Its Performance in Determining Important VariablesYasuhiro Date, Jun Kikuchi
Angewandte Chemie (International Ed. in English)|April 25, 2019
Enantioselective Addition Reaction of Azlactones with Styrene Derivatives Catalyzed by Strong Chiral Brønsted AcidsJun Kikuchi, Masahiro Terada
Methodsx|April 13, 2026
RefLaTEA: a robust visualization and analysis framework leveraging background data for enhanced insightHideaki Shima, Jun Kikuchi
Environmental Research|May 21, 2023
Inferring microbial community assembly in an urban river basin through geo-multi-omics and phylogenetic bin-based null-model analysis of surface waterDaiki Yokoyama, Jun Kikuchi
The Analyst|October 25, 2017
NMR window of molecular complexity showing homeostasis in superorganismsJun Kikuchi, Shunji Yamada
Computational and Structural Biotechnology Journal|January 26, 2023
An evaluation of homeostatic plasticity for ecosystems using an analytical data science approachHirokuni Miyamoto, Jun Kikuchi
Pageof 30

Showing results (1-10 of 300) with videos related to

Sort By:
Pageof 30
Methods in Molecular Biology (Clifton, N.J.)|August 30, 2019
Practical Aspects of the Analysis of Low- and High-Field NMR Data from Environmental SamplesJun Kikuchi
Methods in Molecular Biology (Clifton, N.J.)|October 13, 2006
Practical aspects of uniform stable isotope labeling of higher plants for heteronuclear NMR-based metabolomicsJun Kikuchi, Takashi Hirayama
RSC Advances|April 28, 2022
The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data scienceJun Kikuchi, Shunji Yamada
Analytical Chemistry|September 10, 2013
Comprehensive signal assignment of 13C-labeled lignocellulose using multidimensional solution NMR and 13C chemical shift comparison with solid-state NMRTakanori Komatsu, Jun Kikuchi
Analytical Chemistry|December 27, 2017
Application of a Deep Neural Network to Metabolomics Studies and Its Performance in Determining Important VariablesYasuhiro Date, Jun Kikuchi
Angewandte Chemie (International Ed. in English)|April 25, 2019
Enantioselective Addition Reaction of Azlactones with Styrene Derivatives Catalyzed by Strong Chiral Brønsted AcidsJun Kikuchi, Masahiro Terada
Methodsx|April 13, 2026
RefLaTEA: a robust visualization and analysis framework leveraging background data for enhanced insightHideaki Shima, Jun Kikuchi
Environmental Research|May 21, 2023
Inferring microbial community assembly in an urban river basin through geo-multi-omics and phylogenetic bin-based null-model analysis of surface waterDaiki Yokoyama, Jun Kikuchi
The Analyst|October 25, 2017
NMR window of molecular complexity showing homeostasis in superorganismsJun Kikuchi, Shunji Yamada
Computational and Structural Biotechnology Journal|January 26, 2023
An evaluation of homeostatic plasticity for ecosystems using an analytical data science approachHirokuni Miyamoto, Jun Kikuchi
Pageof 30