Results 51 to 60 of about 393,797 (377)
MetaboAnalyst 3.0—making metabolomics more meaningful
Nucleic Acids Res., 2015 MetaboAnalyst (www.metaboanalyst.ca) is a web server designed to permit comprehensive metabolomic data analysis, visualization and interpretation. It supports a wide range of complex statistical calculations and high quality graphical rendering functions
J. Xia +3 more
semanticscholar +1 more source
The Potential of Metabolomics in Biomedical Applications
Metabolites, 2022 The metabolome offers a dynamic, comprehensive, and precise picture of the phenotype. Current high-throughput technologies have allowed the discovery of relevant metabolites that characterize a wide variety of human phenotypes with respect to health ...
V. González-Covarrubias +2 more
semanticscholar +1 more source
Inborn Errors of Metabolism in the Era of Untargeted Metabolomics and Lipidomics. [PDF]
, 2019 Inborn errors of metabolism (IEMs) are a group of inherited diseases with variable incidences. IEMs are caused by disrupting enzyme activities in specific metabolic pathways by genetic mutations, either directly or indirectly by cofactor deficiencies ...
Fiehn, Oliver +2 more
core +2 more sources
BMC Plant Biology, 2021 Background Surveillance of potential pathogens is a key feature of plant innate immunity. For non-self-recognition plants rely on the perception of pathogen-derived molecules.
Dylan R. Zeiss +3 more
doaj +1 more source
NMR and Metabolomics—A Roadmap for the Future
Metabolites, 2022 Metabolomics investigates global metabolic alterations associated with chemical, biological, physiological, or pathological processes. These metabolic changes are measured with various analytical platforms including liquid chromatography-mass ...
D. Wishart +11 more
semanticscholar +1 more source
Metabolites, 2021 Lipid metabolism is tightly linked to adiposity. Comprehensive lipidomic profiling offers new insights into the dysregulation of lipid metabolism in relation to weight gain.
Habtamu B. Beyene +9 more
doaj +1 more source
Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples
Nature Communications, 2019 In-depth characterization of complex glycomes is complicated by the immense structural diversity of glycans. Here, the authors present a mass spectrometry-based strategy for untargeted, sensitive glycan profiling and identify 167 N-glycan compositions in
Guinevere S. M. Lageveen-Kammeijer +7 more
doaj +1 more source
International Journal of Reproductive BioMedicine, 2021 Background: Prostate cancer (PCa) is a common health problem worldwide. The rate of this disease is likely to grow by 2021. PCa is a heterogeneous disorder, and various biochemical factors contribute to the development of this disease.
Ziba Akbari +4 more
doaj +1 more source
The METLIN small molecule dataset for machine learning-based retention time prediction
Nature Communications, 2019 The use of machine learning for identifying small molecules through their retention time’s predictions has been challenging so far. Here the authors combine a large database of liquid chromatography retention time with a deep learning approach to enable ...
Xavier Domingo-Almenara +8 more
doaj +1 more source
SECIMTools: a suite of metabolomics data analysis tools
BMC Bioinformatics, 2018 Background Metabolomics has the promise to transform the area of personalized medicine with the rapid development of high throughput technology for untargeted analysis of metabolites.
Alexander S. Kirpich +8 more
doaj +1 more source