If you’d like a free software demo, to discuss pricing, or to come by for a chat, make sure to remember Booth #517. Our experts will be more than happy to answer all your questions and discuss the potential of our services and tools for your research!
Besides the seminar and exhibition booth, we’d like to share our work in the following formats:
MONDAY
POSTERS
MP 720 Surpassing 10,000 Proteins Quantified in Human Tissue by Augmenting Single Shot Data-Independent Acquisition (DIA) with Hybrid Libraries
Jan Muntel; Tejas Gandhi; Lynn Verbeke; Oliver M. Bernhardt; Roland Bruderer; Lukas Reiter
MP 709 A fully GLP compliant multiplexed protein quantification MRM assay panel
Paul-Gerhard Lassahn; Claudia Escher; Tobias Treiber; Alexandre Kornfeld; Jakob Vowinckel; Gregor Schütze
TUESDAY
ORALS
“Library-free” DIA analysis: Using proteome-wide in-silico generated spectral libraries by Prosit for DIA data analysis
Tobias Schmidt; Daniel P Zolg; Siegfried Gessulat; Oliver M. Bernhardt; Tejas Gandhi; Patroklos Samaras; Martin Frejno; Hans-Christian Ehrlich; Lukas Reiter; Bernhard Kuster; Mathias Wilhelm
Increasing the dynamic range of data independent acquisition (DIA) by fusing BoxCar MS1 with segmented MS2
Florian Meier; Roland Bruderer; Oliver M. Bernhardt; Tabiwang N. Arrey; Tejas Gandhi; Christoph Wichmann; Yue Xuan; Oliver Lange; Alexander Makarov; Alexander Harder; Lukas Reiter; Matthias Mann
WEDNESDAY
ORALS
Improving Quantification Using MS1 and MS2 Information in Data Independent Acquisition
Roland Bruderer; Ting Huang; Jan Muntel; Oliver M. Bernhardt; Olga Vitek; Lukas Reiter
POSTERS
WP 655 A novel, fast post translational modification localization algorithm for targeted DIA outperforming DDA on a controlled sample set
Oliver M Bernhardt; Christian D. Kelstrup; Tejas Gandhi; Lynn Verbeke; Alexander Hogrebe; Dorte B. Bekker-Jensen; Jesper V. Olsen; Lukas Reiter
WP 394 Improving Resource Libraries for Data Independent Acquisition through iRT Residual Prediction using Deep Learning
Timothy Man; Jan Muntel; Roland Bruderer; Lukas Reiter
THURSDAY
POSTERS
ThP 268 Boosting PRM based targeted proteomics using SpectroDive
Tejas Gandhi; Oliver M. Bernhardt; Sebastian Müller; Ian Lienert; Magdalena Bober; Claudia Escher; Lukas Reiter
ThP 087 Machine Learning on SpectroMine Results Applied to an Efficient Large-Scale Library Generation Experiment
Lynn Verbeke; Jan Muntel; Timothy Man; Tejas Gandhi; Aljaz Baumkircher; Oliver M. Bernhardt; Ian Lienert; Roland Bruderer; Lukas Reiter
ThP 139 Limited Proteolysis Coupled to Mass Spectrometry, a Novel Drug Target Deconvolution Strategy
Nigel Beaton; Roland Bruderer; Ilaria Piazza; Paola Picotti; Lukas Reiter
The precise schedule can be found below, including third party presentations mentioning either Biognosys or our products.
