| SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information K Dührkop, M Fleischauer, M Ludwig, AA Aksenov, AV Melnik, M Meusel, ... Nature methods 16 (4), 299-302, 2019 | 1239 | 2019 |
| Feature-based molecular networking in the GNPS analysis environment LF Nothias, D Petras, R Schmid, K Dührkop, J Rainer, A Sarvepalli, ... Nature methods 17 (9), 905-908, 2020 | 1010 | 2020 |
| Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra K Dührkop, LF Nothias, M Fleischauer, R Reher, M Ludwig, MA Hoffmann, ... Nature biotechnology 39 (4), 462-471, 2021 | 494 | 2021 |
| Integrative analysis of multimodal mass spectrometry data in MZmine 3 R Schmid, S Heuckeroth, A Korf, A Smirnov, O Myers, TS Dyrlund, ... Nature biotechnology 41 (4), 447-449, 2023 | 379 | 2023 |
| High-confidence structural annotation of metabolites absent from spectral libraries MA Hoffmann, LF Nothias, M Ludwig, M Fleischauer, EC Gentry, M Witting, ... Nature Biotechnology 40 (3), 411-421, 2022 | 167 | 2022 |
| Database-independent molecular formula annotation using Gibbs sampling through ZODIAC M Ludwig, LF Nothias, K Dührkop, I Koester, M Fleischauer, MA Hoffmann, ... Nature Machine Intelligence 2 (10), 629-641, 2020 | 149 | 2020 |
| Chemically informed analyses of metabolomics mass spectrometry data with Qemistree A Tripathi, Y Vázquez-Baeza, JM Gauglitz, M Wang, K Dührkop, ... Nature chemical biology 17 (2), 146-151, 2021 | 99 | 2021 |
| Assigning confidence to structural annotations from mass spectra with COSMIC MA Hoffmann, LF Nothias, M Ludwig, M Fleischauer, EC Gentry, M Witting, ... BioRxiv, 2021.03. 18.435634, 2021 | 48 | 2021 |
| De novo molecular formula annotation and structure elucidation using SIRIUS 4 M Ludwig, M Fleischauer, K Dührkop, MA Hoffmann, S Böcker Computational methods and data analysis for metabolomics, 185-207, 2020 | 29 | 2020 |
| ZODIAC: Database-independent molecular formula annotation using Gibbs sampling reveals unknown small molecules M Ludwig, LF Nothias, K Dührkop, I Koester, M Fleischauer, MA Hoffmann, ... biorxiv, 842740, 2019 | 26 | 2019 |
| Classes for the masses: systematic classification of unknowns using fragmentation spectra K Dührkop, LF Nothias, M Fleischauer, M Ludwig, MA Hoffmann, J Rousu, ... BioRxiv, 2020.04. 17.046672, 2020 | 24 | 2020 |
| Bad Clade Deletion supertrees: a fast and accurate supertree algorithm M Fleischauer, S Böcker Molecular biology and evolution 34 (9), 2408-2421, 2017 | 16 | 2017 |
| Collecting reliable clades using the greedy strict consensus merger M Fleischauer, S Böcker PeerJ 4, e2172, 2016 | 13 | 2016 |
| Feature-based Molecular Networking in the GNPS Analysis Environment. bioRxiv, 812404 LF Nothias, D Petras, R Schmid, K Dührkop, J Rainer, A Sarvepalli, ... | 7 | 2019 |
| SIRIUS 4 K Dührkop, M Fleischauer, M Ludwig, AA Aksenov, AV Melnik, M Meusel, ... Nature Publishing Group, 2019 | 1 | 2019 |
| BCD Beam Search: considering suboptimal partial solutions in Bad Clade Deletion supertrees M Fleischauer, S Böcker PeerJ 6, e4987, 2018 | 1 | 2018 |
| Database-independent molecular formula annotation using Gibbs sampling through ZODIAC (vol 2, pg 629, 2020) M Ludwig, LF Nothias, K Duhrkop, I Koester, M Fleischauer, MA Hoffmann, ... NATURE MACHINE INTELLIGENCE, 2020 | | 2020 |
| Fast and accurate supertrees: towards large scale phylogenies M Fleischauer Dissertation, Jena, Friedrich-Schiller-Universität Jena, 2018, 2018 | | 2018 |
| SIRIUS 3 Documentation S Böcker, K Dührkop, M Fleischauer, M Ludwig | | 2017 |
Sebastian BöckerProfessor für Bioinformatik, FSU JenaBestätigte E-Mail-Adresse bei uni-jena.de
