Thilo Muth

Affiliations: 
Max Planck Institute Magdeburg 
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"Thilo Muth"
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Holstein T, Kistner F, Martens L, et al. (2023) PepGM: a probabilistic graphical model for taxonomic inference of viral proteome samples with associated confidence scores. Bioinformatics (Oxford, England). 39
Van Den Bossche T, Arntzen MØ, Becher D, et al. (2021) The Metaproteomics Initiative: a coordinated approach for propelling the functional characterization of microbiomes. Microbiome. 9: 243
Van Den Bossche T, Kunath BJ, Schallert K, et al. (2021) Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows. Nature Communications. 12: 7305
Muñoz-Benavent M, Hartkopf F, Van Den Bossche T, et al. (2020) Erratum: gNOMO: a multi-omics pipeline for integrated host and microbiome analysis of non-model organisms. Nar Genomics and Bioinformatics. 2: lqaa083
Muñoz-Benavent M, Hartkopf F, Van Den Bossche T, et al. (2020) gNOMO: a multi-omics pipeline for integrated host and microbiome analysis of non-model organisms. Nar Genomics and Bioinformatics. 2: lqaa058
Anzt H, Bach F, Druskat S, et al. (2020) An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000research. 9: 295
Sajulga R, Easterly C, Riffle M, et al. (2020) Survey of metaproteomics software tools for functional microbiome analysis. Plos One. 15: e0241503
Schiebenhoefer H, Schallert K, Renard BY, et al. (2020) A complete and flexible workflow for metaproteomics data analysis based on MetaProteomeAnalyzer and Prophane. Nature Protocols
Van Den Bossche T, Verschaffelt P, Schallert K, et al. (2020) Connecting MetaProteomeAnalyzer and PeptideShaker to Unipept for seamless end-to-end metaproteomics data analysis. Journal of Proteome Research
Kuhring M, Doellinger J, Nitsche A, et al. (2020) TaxIt: An Iterative Computational Pipeline for Untargeted Strain-Level Identification Using MS/MS Spectra from Pathogenic Single-Organism Samples. Journal of Proteome Research
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