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Oliver Fiehn
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2020 – today
- 2023
- [j21]Parker Ladd Bremer, Gert Wohlgemuth, Oliver Fiehn:
The BinDiscover database: a biology-focused meta-analysis tool for 156,000 GC-TOF MS metabolome samples. J. Cheminformatics 15(1): 66 (2023) - 2022
- [j20]Parker Ladd Bremer, Arpana Vaniya, Tobias Kind, Shunyang Wang, Oliver Fiehn:
How Well Can We Predict Mass Spectra from Structures? Benchmarking Competitive Fragmentation Modeling for Metabolite Identification on Untrained Tandem Mass Spectra. J. Chem. Inf. Model. 62(17): 4049-4056 (2022) - [j19]Shunyang Wang, Tobias Kind, Parker Ladd Bremer, Dean J. Tantillo, Oliver Fiehn:
Beyond the Ground State: Predicting Electron Ionization Mass Spectra Using Excited-State Molecular Dynamics. J. Chem. Inf. Model. 62(18): 4403-4410 (2022) - 2020
- [j18]Shunyang Wang, Tobias Kind, Dean J. Tantillo, Oliver Fiehn:
Predicting in silico electron ionization mass spectra using quantum chemistry. J. Cheminformatics 12(1): 63 (2020)
2010 – 2019
- 2017
- [j17]Emma Schymanski, Christoph Ruttkies, Martin Krauss, Céline Brouard, Tobias Kind, Kai Dührkop, Felicity Allen, Arpana Vaniya, Dries Verdegem, Sebastian Böcker, Juho Rousu, Huibin Shen, Hiroshi Tsugawa, Tanvir Sajed, Oliver Fiehn, Bart Ghesquière, Steffen Neumann:
Critical Assessment of Small Molecule Identification 2016: automated methods. J. Cheminformatics 9(1): 22:1-22:21 (2017) - [j16]Ivana Blazenovic, Tobias Kind, Hrvoje Torbasinovic, Slobodan Obrenovic, Sajjan S. Mehta, Hiroshi Tsugawa, Tobias Wermuth, Nicolas Schauer, Martina Jahn, Rebekka Biedendieck, Dieter Jahn, Oliver Fiehn:
Comprehensive comparison of in silico MS/MS fragmentation tools of the CASMI contest: database boosting is needed to achieve 93% accuracy. J. Cheminformatics 9(1): 32:1-32:12 (2017) - 2016
- [j15]Manish Sud, Eoin Fahy, Dawn Cotter, Kenan Azam, Ilango Vadivelu, Charles F. Burant, Arthur Edison, Oliver Fiehn, Richard M. Higashi, K. Sreekumaran Nair, Susan Sumner, Shankar Subramaniam:
Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools. Nucleic Acids Res. 44(Database-Issue): 463-470 (2016) - 2015
- [j14]Dmitry Grapov, Kwanjeera Wanichthanarak, Oliver Fiehn:
MetaMapR: pathway independent metabolomic network analysis incorporating unknowns. Bioinform. 31(16): 2757-2760 (2015) - [j13]James G. Jeffryes, Ricardo L. Colastani, Mona Elbadawi-Sidhu, Tobias Kind, Thomas D. Niehaus, Linda J. Broadbelt, Andrew D. Hanson, Oliver Fiehn, Keith E. J. Tyo, Christopher S. Henry:
MINEs: open access databases of computationally predicted enzyme promiscuity products for untargeted metabolomics. J. Cheminformatics 7: 44:1-44:8 (2015) - [j12]Yan Ma, Tobias Kind, Arpana Vaniya, Ingrid Gennity, Johannes F. Fahrmann, Oliver Fiehn:
An in silico MS/MS library for automatic annotation of novel FAHFA lipids. J. Cheminformatics 7: 53:1-53:5 (2015) - 2012
- [j11]Dinesh K. Barupal, Pradeep Kumar Haldiya, Gert Wohlgemuth, Tobias Kind, Shanker L. Kothari, Kent E. Pinkerton, Oliver Fiehn:
MetaMapp: mapping and visualizing metabolomic data by integrating information from biochemical pathways and chemical and mass spectral similarity. BMC Bioinform. 13: 99 (2012) - 2011
- [j10]Kirsten Skogerson, Gert Wohlgemuth, Dinesh K. Barupal, Oliver Fiehn:
The volatile compound BinBase mass spectral database. BMC Bioinform. 12: 321 (2011) - 2010
- [j9]Gert Wohlgemuth, Pradeep Kumar Haldiya, Egon L. Willighagen, Tobias Kind, Oliver Fiehn:
The Chemical Translation Service - a web-based tool to improve standardization of metabolomic reports. Bioinform. 26(20): 2647-2648 (2010) - [c4]Jan Budczies, Carsten Denkert, Berit M. Müller, Scarlet F. Brockmöller, Manfred Dietel, Jules L. Griffin, Matej Oresic, Oliver Fiehn:
METAtarget - Extracting Key Enzymes of Metabolic Regulation from Highthroughput Metabolomics Data using KEGG REACTION Information. GCB 2010: 103-112
2000 – 2009
- 2009
- [j8]Tobias Kind, Tim Leamy, Julie A. Leary, Oliver Fiehn:
Software platform virtualization in chemistry research and university teaching. J. Cheminformatics 1: 18 (2009) - 2007
- [j7]Tobias Kind, Oliver Fiehn:
Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry. BMC Bioinform. 8 (2007) - [j6]Frank Kose, Jan Budczies, Matthias Holschneider, Oliver Fiehn:
Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors. BMC Bioinform. 8 (2007) - [c3]Martin Scholz, Oliver Fiehn:
Setup X - A Public Study Design Database for Metabolomic Projects. Pacific Symposium on Biocomputing 2007: 169-180 - 2006
- [j5]Arthur L. Castle, Oliver Fiehn, Rima Kaddurah-Daouk, John C. Lindon:
Metabolomics Standards Workshop and the development of international standards for reporting metabolomics experimental results. Briefings Bioinform. 7(2): 159-165 (2006) - [j4]Tobias Kind, Oliver Fiehn:
Metabolomic database annotations viaquery of elemental compositions: Mass accuracy is insufficient even at less than 1 ppm. BMC Bioinform. 7: 234 (2006) - 2005
- [c2]Oliver Fiehn, Gert Wohlgemuth, Martin Scholz:
Setup and Annotation of Metabolomic Experiments by Integrating Biological and Mass Spectrometric Metadata. DILS 2005: 224-239 - 2004
- [j3]Matthias Scholz, S. Gatzek, Alisdair R. Sterling, Oliver Fiehn, Joachim Selbig:
Metabolite fingerprinting: detecting biological features by independent component analysis. Bioinform. 20(15): 2447-2454 (2004) - 2003
- [j2]Ralph E. Steuer, Jürgen Kurths, Oliver Fiehn, Wolfram Weckwerth:
Observing and Interpreting Correlations in Metabolic Networks. Bioinform. 19(8): 1019-1026 (2003) - 2002
- [c1]Janet Taylor, Ross D. King, Thomas Altmann, Oliver Fiehn:
Application of metabolomics to plant genotype discrimination using statistics and machine learning. ECCB 2002: 241-248 - 2001
- [j1]Frank Kose, Wolfram Weckwerth, Thomas Linke, Oliver Fiehn:
Visualizing plant metabolomic correlation networks using clique-metabolite matrices. Bioinform. 17(12): 1198-1208 (2001)
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