Muth T - Search Results

1

A complete and flexible workflow for metaproteomics data analysis based on MetaProteomeAnalyzer and Prophane.

Schiebenhoefer H, Schallert K, Renard BY, Trappe K, Schmid E, Benndorf D, Riedel K, Muth T, Fuchs S. Schiebenhoefer H, et al. Among authors: muth t. Nat Protoc. 2020 Oct;15(10):3212-3239. doi: 10.1038/s41596-020-0368-7. Epub 2020 Aug 28. Nat Protoc. 2020. PMID: 32859984

2

Searching for a needle in a stack of needles: challenges in metaproteomics data analysis.

Muth T, Benndorf D, Reichl U, Rapp E, Martens L. Muth T, et al. Mol Biosyst. 2013 Apr 5;9(4):578-85. doi: 10.1039/c2mb25415h. Mol Biosyst. 2013. PMID: 23238088 Review.

3

Sample prefractionation with liquid isoelectric focusing enables in depth microbial metaproteome analysis of mesophilic and thermophilic biogas plants.

Kohrs F, Heyer R, Magnussen A, Benndorf D, Muth T, Behne A, Rapp E, Kausmann R, Heiermann M, Klocke M, Reichl U. Kohrs F, et al. Among authors: muth t. Anaerobe. 2014 Oct;29:59-67. doi: 10.1016/j.anaerobe.2013.11.009. Epub 2013 Dec 3. Anaerobe. 2014. PMID: 24309213

4

The MetaProteomeAnalyzer: a powerful open-source software suite for metaproteomics data analysis and interpretation.

Muth T, Behne A, Heyer R, Kohrs F, Benndorf D, Hoffmann M, Lehtevä M, Reichl U, Martens L, Rapp E. Muth T, et al. J Proteome Res. 2015 Mar 6;14(3):1557-65. doi: 10.1021/pr501246w. Epub 2015 Feb 23. J Proteome Res. 2015. PMID: 25660940

5

Navigating through metaproteomics data: a logbook of database searching.

Muth T, Kolmeder CA, Salojärvi J, Keskitalo S, Varjosalo M, Verdam FJ, Rensen SS, Reichl U, de Vos WM, Rapp E, Martens L. Muth T, et al. Proteomics. 2015 Oct;15(20):3439-53. doi: 10.1002/pmic.201400560. Epub 2015 Apr 27. Proteomics. 2015. PMID: 25778831

6

Metaproteomic data analysis at a glance: advances in computational microbial community proteomics.

Muth T, Renard BY, Martens L. Muth T, et al. Expert Rev Proteomics. 2016 Aug;13(8):757-69. doi: 10.1080/14789450.2016.1209418. Epub 2016 Jul 20. Expert Rev Proteomics. 2016. PMID: 27376173 Review.

7

Evaluating de novo sequencing in proteomics: already an accurate alternative to database-driven peptide identification?

Muth T, Renard BY. Muth T, et al. Brief Bioinform. 2018 Sep 28;19(5):954-970. doi: 10.1093/bib/bbx033. Brief Bioinform. 2018. PMID: 28369237

8

MPA Portable: A Stand-Alone Software Package for Analyzing Metaproteome Samples on the Go.

Muth T, Kohrs F, Heyer R, Benndorf D, Rapp E, Reichl U, Martens L, Renard BY. Muth T, et al. Anal Chem. 2018 Jan 2;90(1):685-689. doi: 10.1021/acs.analchem.7b03544. Epub 2017 Dec 19. Anal Chem. 2018. PMID: 29215871 Free PMC article.

9

A Potential Golden Age to Come-Current Tools, Recent Use Cases, and Future Avenues for De Novo Sequencing in Proteomics.

Muth T, Hartkopf F, Vaudel M, Renard BY. Muth T, et al. Proteomics. 2018 Sep;18(18):e1700150. doi: 10.1002/pmic.201700150. Epub 2018 Aug 22. Proteomics. 2018. PMID: 29968278 Review.

10

Peptide-to-Protein Summarization: An Important Step for Accurate Quantification in Label-Based Proteomics.

Fischer M, Muth T, Renard BY. Fischer M, et al. Among authors: muth t. Methods Mol Biol. 2019;1977:159-180. doi: 10.1007/978-1-4939-9232-4_11. Methods Mol Biol. 2019. PMID: 30980328

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