Thilo Muth
Thilo Muth
Head of Data Competence Center MF2, Robert Koch Institute (RKI)
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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