Thanks to deep-learning augmented peptide identification, you can now find more precursors and proteins in your samples than ever before. We have further broadened our support for the latest mass spectrometry data acquisition technologies, and provide new ways to quickly and thoroughly analyze data.
Spectronaut™ is a commercial software package aimed at analyzing data-independent acquisition (DIA) proteomics experiments. Spectronaut™ can quantitatively profile 100s to several 1,000s of proteins in one experiment. Large experiments with several conditions and replicates consisting of up to 10,000s of LC-MS runs can be analyzed.
Methods should acquire MS1 and MS2 or MS2 only scans. The cycle time of the method should be in the range of 1-3 seconds depending on your average peak width. Fractionation, including gas-phase fractionation, is supported.
If you are interested in ordering one of our softwares, please submit a request form or contact us. Our team will review your inquiry and get back to you within 5 working days.
The brochure provides you with an overview of the key features and benefits which make Spectronaut the gold standard software for DIA proteomics analysis. The brochure elaborates o [...]
Spectronaut 14 is here and comes with several exciting new features and improvements. Thanks to deep-learning augmented peptide identification, you can now find more precursors [...]
The Spectronaut manual is designed to support users and leverage their DIA data analysis experience. It covers software features and analysis workflows and guides the user through [...]
includes: Spectronaut Demo Data Set (zip file 1.6 GB) Spectronaut Experiment File (sne file, 1.05 GB) BGMS Raw API - Example Code Project
includes: FASTA for iRT peptides Skyline Schema for exporting Spectronaut compatible libraries
Spectronaut offers powerful features to handle large datasets. Maximilian Helf from our R&D department shows you how to queue up analysis jobs in pipeline mode and introduces S [...]
In this Spectronaut 14 launch seminar at ASMS 2020 Reboot, we summarize the most ground-breaking new features of this major release of Spectronaut: a) directDIA 2.0, a major improv [...]
This seminar at ASMS 2020 Reboot, had two exceptional speaker: Prof. Jesper Olsen and Prof. Florian Meier. First, Prof. Olsen shows, among other great results, how the combination [...]
This seminar at ASMS 2020 Reboot had the participation of two outstanding Spectronaut advocates: Prof. Birgit Schilling and Prof. Yansheng Liu. First, Prof. Schilling shows how she [...]
Fabia Simona from our Product Support team shows you how to set up a DIA analysis in Spectronaut and gives valuable tips on setting up the software for optimal performance on you c [...]
One of the most popular features of Spectronaut is directDIA, allowing you to run DIA analysis without additional files for library generation. In this video tutorial, Fabia Simona [...]
Spectronaut support Ion Mobility Technologies from different vendors. Monika Puchalska from our Product Support team demonstrates how to take advantage of Thermo’s FAIMS or B [...]
Getting detailed information on peptide-spectrum matches (PSMs) is important to verify identifications and access to PSM information is required for data submission to many journal [...]
SILAC experiments as well as the use of isotopically labeled reference peptides require specific changes to your experiment setup in Spectronaut. Tejas Gandhi from our R&D team [...]
Spectronaut command line enables you to run analyses without manual interaction, for instance from scripts. Maximilian Helf from our R&D team shows you how to use Spectronaut c [...]
Spectronaut uses the HTRMS file format for high performance data analysis. Oliver Bernhard from our R&D team shows you how to save up to 60% analysis time by converting your fi [...]
Muntel J et al. Molecular Omics. In this study we showed how improvements in chromatography and data analysis can push the proteome coverage in human tiss [...]
Singh J et al. Journal of Proteome Research. The lysosome is a critical cell compartment dedicated to the recycling of macromolecules and organelles, and [...]
Salovska B et al. Molecular Systems Biology. In a collaboration between Prof. Liu’s group at Yale University and Biognosys, we established a combined DI [...]
Baeza J et al. Journal of Proteome Research. In this study, the Biognosys’ R&D team, in collaboration with researchers of the University of Wisconsi [...]
Bekker-Jensen DB et al. Nature Communications. Protein phosphorylation is a predominant post-translational modification that dynamically regulates protein [...]
Huang T et al. Molecular & Cellular Proteomics. In this publication, we report a novel statistical procedure that takes advantage of the two independe [...]
Muntel J et al. Journal of Proteome Research. Here we compare the performance of the two most popular quantitative workflows employed in discovery proteom [...]
Bruderer R et al. MCP. In this work, Biognosys and collaborators compared proteome coverage and quantification performance of the emerging DIA/SWATH metho [...]