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Type: (datasets) Publication Year: 2018 Type: (datasets) Keyword Term: statistics Type: (datasets) Kind of Data: Workflow

1 to 6 of 6 Results

W4M00007_Coffea-leaves Aug 21, 2018 - PFEM Dataverse Cédric Delporte; Florence Souard, 2018, "W4M00007_Coffea-leaves", https://doi.org/10.15454/1.4985472277740251E12, Portail Data INRAE, V2 Abstract:Study: Characterization of the coffee leaves metabolome composition in 9 species of Coffea (Rubiaceae) collected at 5 dates in 2016 (January – March - July- September – December) after aqueous extraction. A total of 169 samples (including 147 individual samples, 8 blanks...
W4M00006_BPA-MMusculus Aug 20, 2018 - PFEM Dataverse Marie Tremblay-Franco, 2018, "W4M00006_BPA-MMusculus", https://doi.org/10.15454/1.4821558812795176E12, Portail Data INRAE, V2 Abstract:Study: Metabolic shifts induced in vivo after perinatal exposure to low doses of BPA in CD-1 mice were assessed. In this study conducted by the ToxAlim-MeX team and the Tufts University school of medicine (Boston, MA, USA) in collaboration with the AXIOM-MetaToul-MetaboH...
W4M00004_GCMS-Algae Aug 20, 2018 - PFEM Dataverse Yann Guitton; Sophie Goulitquer, 2018, "W4M00004_GCMS-Algae", https://doi.org/10.15454/1.4811272313071519E12, Portail Data INRAE, V2 Abstract:Study: Characterization of the physiological variations of the metabolome in algae exposed to 3 different abiotic stress (salt concentration). Dataset: The dataset contains 12 mzXML files created from Agilent RAW GC-MS file. 4 replicats per conditions: i) Condition 01: F...
W4M00003_Diaplasma Aug 20, 2018 - PFEM Dataverse Etienne Thévenot; Philippe Rinaudo, 2018, "W4M00003_Diaplasma", https://doi.org/10.15454/1.4811165052113186E12, Portail Data INRAE, V2 Abstract:Study: Identification of metabolomics signatures for patient stratification between type 1 versus type 2 diabetes mellitus. Dataset: plasma samples from 69 diabetic patients were analyzed by reversed phase (C18) ultra-high performance liquid chromatography (UPLC) coupled...
W4M00002_Sacurine-comprehensive Aug 20, 2018 - PFEM Dataverse Etienne Thévenot, 2018, "W4M00002_Sacurine-comprehensive", https://doi.org/10.15454/1.481114233733302E12, Portail Data INRAE, V2 Abstract:Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. In this study conducted by the MetaboHUB French Infrastruct...
W4M00001_Sacurine-statistics Aug 20, 2018 - PFEM Dataverse Etienne Thévenot, 2018, "W4M00001_Sacurine-statistics", https://doi.org/10.15454/1.4811121736910142E12, Portail Data INRAE, V2 Abstract:Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. Dataset: In this study conducted by the MetaboHUB French In...

W4M00007_Coffea-leaves

Aug 21, 2018 - PFEM Dataverse

Cédric Delporte; Florence Souard, 2018, "W4M00007_Coffea-leaves", https://doi.org/10.15454/1.4985472277740251E12, Portail Data INRAE, V2

Abstract:Study: Characterization of the coffee leaves metabolome composition in 9 species of Coffea (Rubiaceae) collected at 5 dates in 2016 (January – March - July- September – December) after aqueous extraction. A total of 169 samples (including 147 individual samples, 8 blanks...

W4M00006_BPA-MMusculus

Aug 20, 2018 - PFEM Dataverse

Marie Tremblay-Franco, 2018, "W4M00006_BPA-MMusculus", https://doi.org/10.15454/1.4821558812795176E12, Portail Data INRAE, V2

Abstract:Study: Metabolic shifts induced in vivo after perinatal exposure to low doses of BPA in CD-1 mice were assessed. In this study conducted by the ToxAlim-MeX team and the Tufts University school of medicine (Boston, MA, USA) in collaboration with the AXIOM-MetaToul-MetaboH...

W4M00004_GCMS-Algae

Aug 20, 2018 - PFEM Dataverse

Yann Guitton; Sophie Goulitquer, 2018, "W4M00004_GCMS-Algae", https://doi.org/10.15454/1.4811272313071519E12, Portail Data INRAE, V2

Abstract:Study: Characterization of the physiological variations of the metabolome in algae exposed to 3 different abiotic stress (salt concentration). Dataset: The dataset contains 12 mzXML files created from Agilent RAW GC-MS file. 4 replicats per conditions: i) Condition 01: F...

W4M00003_Diaplasma

Aug 20, 2018 - PFEM Dataverse

Etienne Thévenot; Philippe Rinaudo, 2018, "W4M00003_Diaplasma", https://doi.org/10.15454/1.4811165052113186E12, Portail Data INRAE, V2

Abstract:Study: Identification of metabolomics signatures for patient stratification between type 1 versus type 2 diabetes mellitus. Dataset: plasma samples from 69 diabetic patients were analyzed by reversed phase (C18) ultra-high performance liquid chromatography (UPLC) coupled...

W4M00002_Sacurine-comprehensive

Aug 20, 2018 - PFEM Dataverse

Etienne Thévenot, 2018, "W4M00002_Sacurine-comprehensive", https://doi.org/10.15454/1.481114233733302E12, Portail Data INRAE, V2

Abstract:Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. In this study conducted by the MetaboHUB French Infrastruct...

W4M00001_Sacurine-statistics

Aug 20, 2018 - PFEM Dataverse

Etienne Thévenot, 2018, "W4M00001_Sacurine-statistics", https://doi.org/10.15454/1.4811121736910142E12, Portail Data INRAE, V2

Abstract:Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. Dataset: In this study conducted by the MetaboHUB French In...

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