Boosting Proteome Coverage by a Combination of the Next Generation UHPLC and a Novel Search Node in Proteome Discoverer

Optimization of wide window acquisition methods for improved proteome coverage Tabiwang N. Arrey1, Bernard Delanghe1, David Horn2, Daniel Hermanson2, Daniel Zolg3, and Martin Frejno3 1Thermo Fisher Scientific GmbH, Bremen, Germany; 2Thermo Fisher Scientific, San Jose, CA, USA; 3MSAID GmbH, Garching…

Increasing the depth of single shot proteomics with enhanced data acquisition and processing strategies David Bergen1, JingJing Huang1, David Horn1, Daniel Hermanson1, Romain Huguet1, Bernard Delanghe2, Daniel Zolg3, and Martin Frejno3 1Thermo Fisher Scientific, San Jose, CA, USA; 2Thermo Fisher…

CHIMERYS: An AI-Driven Leap Forward in Peptide Identification Martin Frejno1; Daniel P Zolg1; Tobias Schmidt1; Siegfried Gessulat1; Michael Graber1; Florian Seefried1; Magnus Rathke-Kuhnert1; Samia Ben Fredj1; Shyamnath Premnadh1; Patroklos Samaras1, Kai Fritzemeier2; Frank Berg2; Waqas Nasir2; David Horn3; Bernard Delanghe2;…

The intelligent protein informatics platform Thermo Scientific Proteome Discoverer software Transform proteomics mass spectrometry data into insights Thermo Scientific™ Proteome Discoverer™ software enables comprehensive proteomics data processing workflows empowered by artificial intelligence. • Powerful and flexible framework: Optimized analysis for…