The scientist’s investigation covers issues in Metabolomics, Mass spectrometry, Metabolite, Chromatography and Computational biology. A large part of his Metabolomics studies is devoted to Metabolome. His research in the fields of Gas chromatography–mass spectrometry overlaps with other disciplines such as Extramural.
As a part of the same scientific study, Oliver Fiehn usually deals with the Metabolite, concentrating on Botany and frequently concerns with Arabidopsis and Arabidopsis thaliana. In his work, Chromatography liquid, Targeted metabolomics and Ionization mass spectrometry is strongly intertwined with Lipidomics, which is a subfield of Chromatography. He combines subjects such as Biotechnology, Genome, Genomics, Metabolite profiling and Pharmacometabolomics with his study of Computational biology.
Oliver Fiehn mainly investigates Metabolomics, Internal medicine, Biochemistry, Metabolite and Chromatography. Oliver Fiehn usually deals with Metabolomics and limits it to topics linked to Computational biology and Functional genomics. His biological study spans a wide range of topics, including Gastroenterology, Diabetes mellitus, Endocrinology and Oncology.
His Biochemistry study is mostly concerned with Enzyme, Metabolism, Amino acid and Yeast. His study in Mass spectrometry, Tandem mass spectrometry and Liquid chromatography–mass spectrometry is carried out as part of his Chromatography studies. His Mass spectrometry study is associated with Analytical chemistry.
His main research concerns Internal medicine, Metabolomics, Lipidomics, Endocrinology and Computational biology. The various areas that Oliver Fiehn examines in his Internal medicine study include Gastroenterology and Polyunsaturated fatty acid. As a member of one scientific family, Oliver Fiehn mostly works in the field of Metabolomics, focusing on Metabolite and, on occasion, Islet.
His Lipidomics research includes themes of Lipid metabolism and Physiology. His Computational biology study incorporates themes from Text mining, Omics and Untargeted metabolomics. His study in Lipidome is interdisciplinary in nature, drawing from both Tandem mass spectrometry and Retention time.
His primary areas of study are Metabolomics, Lipidomics, Computational biology, Internal medicine and Metabolome. His Metabolomics research is multidisciplinary, relying on both Antioxidant, Phenylacetylglutamine, Metabolite, Platelet and Pharmacology. His work deals with themes such as Chromatography, Retention time and Tandem mass spectrometry, which intersect with Lipidomics.
He has researched Computational biology in several fields, including Annotation, Targeted metabolomics, Resolution and Untargeted metabolomics. His Internal medicine research is multidisciplinary, incorporating perspectives in Bonferroni correction, Endocrinology and Oncology. His Metabolome research integrates issues from Catalase, Lipid peroxidation, Rotenone, Centella and Toxicity.
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Metabolomics - the link between genotypes and phenotypes
Plant Molecular Biology (2002)
Proposed minimum reporting standards for chemical analysis
Lloyd W. Sumner;Alexander Amberg;Dave Barrett;Michael H. Beale.
Metabolite profiling for plant functional genomics.
Oliver Fiehn;Joachim Kopka;Peter Dörmann;Thomas Altmann.
Nature Biotechnology (2000)
Metabolic Profiling Allows Comprehensive Phenotyping of Genetically or Environmentally Modified Plant Systems
Ute Roessner;Alexander Luedemann;Doreen Brust;Oliver Fiehn.
The Plant Cell (2001)
Combining Genomics, Metabolome Analysis, and Biochemical Modelling to Understand Metabolic Networks
Comparative and Functional Genomics (2001)
FiehnLib: Mass Spectral and Retention Index Libraries for Metabolomics Based on Quadrupole and Time-of-Flight Gas Chromatography/Mass Spectrometry
Tobias Kind;Gert Wohlgemuth;Do Yup Lee;Yun Lu.
Analytical Chemistry (2009)
Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry
Tobias Kind;Oliver Fiehn.
BMC Bioinformatics (2007)
Potential of metabolomics as a functional genomics tool
Raoul J. Bino;Robert D. Hall;Oliver Fiehn;Joachim Kopka.
Trends in Plant Science (2004)
MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis.
Hiroshi Tsugawa;Tomas Cajka;Tobias Kind;Yan Ma.
Nature Methods (2015)
A prominent role for the CBF cold response pathway in configuring the low-temperature metabolome of Arabidopsis
Daniel Cook;Sarah Fowler;Oliver Fiehn;Michael F. Thomashow.
Proceedings of the National Academy of Sciences of the United States of America (2004)
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