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Mathias Wilhelm

Showing results (81-90 of 115) with videos related to

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Nucleic Acids Research|November 18, 2021
ProteomicsDB: toward a FAIR open-source resource for life-science researchLudwig Lautenbacher, Patroklos Samaras, Julian Muller, et al.
Nucleic Acids Research|October 31, 2019
ProteomicsDB: a multi-omics and multi-organism resource for life science researchPatroklos Samaras, Tobias Schmidt, Martin Frejno, et al.
Analytical Chemistry|May 13, 2022
Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled PeptidesWassim Gabriel, Matthew The, Daniel P Zolg, et al.
Nature Communications|March 4, 2025
Integration of multi-omics data accelerates molecular analysis of common wheat traitsNing Zhang, Li Tang, Songgang Li, et al.
Nature Communications|July 21, 2020
Proteome activity landscapes of tumor cell lines determine drug responsesMartin Frejno, Chen Meng, Benjamin Ruprecht, et al.
Nature Methods|April 22, 2025
Unifying the analysis of bottom-up proteomics data with CHIMERYSMartin Frejno, Michelle T Berger, Johanna Tüshaus, et al.
Molecular & Cellular Proteomics : MCP|August 10, 2014
Ion mobility tandem mass spectrometry enhances performance of bottom-up proteomicsDominic Helm, Johannes P C Vissers, Christopher J Hughes, et al.
Molecular Systems Biology|February 20, 2019
A deep proteome and transcriptome abundance atlas of 29 healthy human tissuesDongxue Wang, Basak Eraslan, Thomas Wieland, et al.
Journal of Proteome Research|February 6, 2023
Toward an Integrated Machine Learning Model of a Proteomics ExperimentBenjamin A Neely, Viktoria Dorfer, Lennart Martens, et al.
Proteomes|January 11, 2019
Challenges in Clinical Metaproteomics Highlighted by the Analysis of Acute Leukemia Patients with Gut Colonization by Multidrug-Resistant EnterobacteriaceaeJulia Rechenberger, Patroklos Samaras, Anna Jarzab, et al.
Pageof 12

Showing results (81-90 of 115) with videos related to

Sort By:
Pageof 12
Nucleic Acids Research|November 18, 2021
ProteomicsDB: toward a FAIR open-source resource for life-science researchLudwig Lautenbacher, Patroklos Samaras, Julian Muller, et al.
Nucleic Acids Research|October 31, 2019
ProteomicsDB: a multi-omics and multi-organism resource for life science researchPatroklos Samaras, Tobias Schmidt, Martin Frejno, et al.
Analytical Chemistry|May 13, 2022
Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled PeptidesWassim Gabriel, Matthew The, Daniel P Zolg, et al.
Nature Communications|March 4, 2025
Integration of multi-omics data accelerates molecular analysis of common wheat traitsNing Zhang, Li Tang, Songgang Li, et al.
Nature Communications|July 21, 2020
Proteome activity landscapes of tumor cell lines determine drug responsesMartin Frejno, Chen Meng, Benjamin Ruprecht, et al.
Nature Methods|April 22, 2025
Unifying the analysis of bottom-up proteomics data with CHIMERYSMartin Frejno, Michelle T Berger, Johanna Tüshaus, et al.
Molecular & Cellular Proteomics : MCP|August 10, 2014
Ion mobility tandem mass spectrometry enhances performance of bottom-up proteomicsDominic Helm, Johannes P C Vissers, Christopher J Hughes, et al.
Molecular Systems Biology|February 20, 2019
A deep proteome and transcriptome abundance atlas of 29 healthy human tissuesDongxue Wang, Basak Eraslan, Thomas Wieland, et al.
Journal of Proteome Research|February 6, 2023
Toward an Integrated Machine Learning Model of a Proteomics ExperimentBenjamin A Neely, Viktoria Dorfer, Lennart Martens, et al.
Proteomes|January 11, 2019
Challenges in Clinical Metaproteomics Highlighted by the Analysis of Acute Leukemia Patients with Gut Colonization by Multidrug-Resistant EnterobacteriaceaeJulia Rechenberger, Patroklos Samaras, Anna Jarzab, et al.
Pageof 12