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Patroklos Samaras

Showing results (11-20 of 24) with videos related to

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Nature Methods|May 29, 2019
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learningSiegfried Gessulat, Tobias Schmidt, Daniel Paul Zolg, 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.
Journal of Proteome Research|February 21, 2025
A Scalable, Web-Based Platform for Proteomics Data Processing, Result Storage and AnalysisMarkus Schneider, Daniel P Zolg, Patroklos Samaras, 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.
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.
Nature Methods|April 15, 2020
Meltome atlas-thermal proteome stability across the tree of lifeAnna Jarzab, Nils Kurzawa, Thomas Hopf, et al.
Nature Communications|June 24, 2021
Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomicsMathias Wilhelm, Daniel P Zolg, Michael Graber, et al.
Nature Communications|June 8, 2021
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomicsMathias Wilhelm, Daniel P Zolg, Michael Graber, et al.
Nature Methods|June 16, 2022
Mass spectrometry-based draft of the mouse proteomePiero Giansanti, Patroklos Samaras, Yangyang Bian, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Nature Methods|May 29, 2019
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learningSiegfried Gessulat, Tobias Schmidt, Daniel Paul Zolg, 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.
Journal of Proteome Research|February 21, 2025
A Scalable, Web-Based Platform for Proteomics Data Processing, Result Storage and AnalysisMarkus Schneider, Daniel P Zolg, Patroklos Samaras, 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.
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.
Nature Methods|April 15, 2020
Meltome atlas-thermal proteome stability across the tree of lifeAnna Jarzab, Nils Kurzawa, Thomas Hopf, et al.
Nature Communications|June 24, 2021
Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomicsMathias Wilhelm, Daniel P Zolg, Michael Graber, et al.
Nature Communications|June 8, 2021
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomicsMathias Wilhelm, Daniel P Zolg, Michael Graber, et al.
Nature Methods|June 16, 2022
Mass spectrometry-based draft of the mouse proteomePiero Giansanti, Patroklos Samaras, Yangyang Bian, et al.
Pageof 3