| Comparative performance of four methods for high-throughput glycosylation analysis of immunoglobulin G in genetic and epidemiological research JE Huffman, M Pučić-Baković, L Klarić, R Hennig, MHJ Selman, ... Molecular & Cellular Proteomics 13 (6), 1598-1610, 2014 | 195 | 2014 |
| The MetaProteomeAnalyzer: a powerful open-source software suite for metaproteomics data analysis and interpretation T Muth, A Behne, R Heyer, F Kohrs, D Benndorf, M Hoffmann, M Lehteva, ... Journal of proteome research 14 (3), 1557-1565, 2015 | 173 | 2015 |
| Navigating through metaproteomics data: a logbook of database searching T Muth, CA Kolmeder, J Salojärvi, S Keskitalo, M Varjosalo, FJ Verdam, ... Proteomics 15 (20), 3439-3453, 2015 | 119 | 2015 |
| The impact of sequence database choice on metaproteomic results in gut microbiota studies A Tanca, A Palomba, C Fraumene, D Pagnozzi, V Manghina, M Deligios, ... Microbiome 4, 1-13, 2016 | 117 | 2016 |
| Evaluating de novo sequencing in proteomics: already an accurate alternative to database-driven peptide identification? T Muth, BY Renard Briefings in bioinformatics 19 (5), 954-970, 2018 | 103 | 2018 |
| Searching for a needle in a stack of needles: challenges in metaproteomics data analysis T Muth, D Benndorf, U Reichl, E Rapp, L Martens Molecular BioSystems 9 (4), 578-585, 2013 | 98 | 2013 |
| ms_lims, a simple yet powerful open source laboratory information management system for MS‐driven proteomics K Helsens, N Colaert, H Barsnes, T Muth, K Flikka, A Staes, E Timmerman, ... Proteomics 10 (6), 1261-1264, 2010 | 95 | 2010 |
| DeNovoGUI: An Open Source Graphical User Interface for de Novo Sequencing of Tandem Mass Spectra T Muth, L Weilnböck, E Rapp, CG Huber, L Martens, M Vaudel, ... Journal of proteome research 13 (2), 1143-1146, 2014 | 82 | 2014 |
| Challenges and promise at the interface of metaproteomics and genomics: an overview of recent progress in metaproteogenomic data analysis H Schiebenhoefer, T Van Den Bossche, S Fuchs, BY Renard, T Muth, ... Expert Review of Proteomics 16 (5), 375-390, 2019 | 81 | 2019 |
| Metaproteomic data analysis at a glance: advances in computational microbial community proteomics T Muth, BY Renard, L Martens Expert review of proteomics 13 (8), 757-769, 2016 | 79 | 2016 |
| Colonic metaproteomic signatures of active bacteria and the host in obesity CA Kolmeder, J Ritari, FJ Verdam, T Muth, S Keskitalo, M Varjosalo, ... Proteomics 15 (20), 3544-3552, 2015 | 74 | 2015 |
| A robust and universal metaproteomics workflow for research studies and routine diagnostics within 24 h using phenol extraction, FASP digest, and the MetaProteomeAnalyzer R Heyer, K Schallert, A Büdel, R Zoun, S Dorl, A Behne, F Kohrs, ... Frontiers in Microbiology 10, 1883, 2019 | 66 | 2019 |
| XTandem Parser: an open‐source library to parse and analyse X! Tandem MS/MS search results T Muth, M Vaudel, H Barsnes, L Martens, A Sickmann Proteomics 10 (7), 1522-1524, 2010 | 65 | 2010 |
| Sample prefractionation with liquid isoelectric focusing enables in depth microbial metaproteome analysis of mesophilic and thermophilic biogas plants F Kohrs, R Heyer, A Magnussen, D Benndorf, T Muth, A Behne, E Rapp, ... Anaerobe 29, 59-67, 2014 | 59 | 2014 |
| An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action H Anzt, F Bach, S Druskat, F Löffler, A Loewe, BY Renard, G Seemann, ... F1000Research 9, 2020 | 57 | 2020 |
| Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows T Van Den Bossche, BJ Kunath, K Schallert, SS Schäpe, PE Abraham, ... Nature communications 12 (1), 7305, 2021 | 54 | 2021 |
| A potential golden age to come—current tools, recent use cases, and future avenues for de novo sequencing in proteomics T Muth, F Hartkopf, M Vaudel, BY Renard Proteomics 18 (18), 1700150, 2018 | 53 | 2018 |
| A complete and flexible workflow for metaproteomics data analysis based on MetaProteomeAnalyzer and Prophane H Schiebenhoefer, K Schallert, BY Renard, K Trappe, E Schmid, ... Nature protocols 15 (10), 3212-3239, 2020 | 51 | 2020 |
| Viewing the proteome: how to visualize proteomics data? E Oveland, T Muth, E Rapp, L Martens, FS Berven, H Barsnes Proteomics 15 (8), 1341-1355, 2015 | 51 | 2015 |
| MPA portable: a stand-alone software package for analyzing metaproteome samples on the go T Muth, F Kohrs, R Heyer, D Benndorf, E Rapp, U Reichl, L Martens, ... Analytical chemistry 90 (1), 685-689, 2018 | 49 | 2018 |
Erdmann RappHead of Bio/Process Analytics, Max Planck Institute for Dynamics of Complex Technical SystemsAdresse e-mail validée de mpi-magdeburg.mpg.de
