Spectronaut Archives - Biognosys

To celebrate Spectronaut, our software for DIA analysis, turning 10 we created a video series featuring some of the amazing team that made Spectronaut what it is today.

In our second video, we are looking back on some of the highlights and challenges of the Spectronaut journey so far with Oliver Rinner, Lukas Reiter Tejas Gandhi, and Oliver Bernhardt.

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There are many things we love about our flagship software Spectronaut®, ranging from its deep proteome coverage to its AI augmentation and seamless user experience.

Find out some of our team’s favorite features in our latest Spectronaut video.

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To celebrate Spectronaut, our software for DIA analysis, turning 10 we created a video series featuring some of the amazing team that made Spectronaut what it is today.

In the first video, our team explores how Spectronaut came to be and why researchers should choose it for their DIA analysis.

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To celebrate Spectronaut, our software for DIA analysis, turning 10 we created a video series featuring some of the amazing team that made Spectronaut what it is today.

Curious to learn more about what Spectronaut 16 will bring? Find out what the team behind Spectronaut has to say about the upcoming version.

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Presenter: Normand Overney

Oral Presentation at ASMS 2021
Session: Informatics: Data-Independent Acquisition
Date: Wednesday, November 3

In January, we announced our new strategic partnership with Bruker to broaden access to our leading proteomics services & tools for biopharma and #biomarker customers.

In this exciting SpotLight episode, Biognosys’ CEO Oliver Rinner and Rohan Thakur, President of the Bruker Life-Science Mass Spectrometry division, discuss the many synergies of the new alliance and give an outlook of what the future might hold.

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The brochure provides you with an overview of Biognosys’ history, including major milestones, our technology, as well as key facts about our offerings.

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This comprehensive brochure provides an overview of our services, software, and kits offering.

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In this White Paper, we walk through the two main strategies for collecting and analyzing mass spectrometry data for discovery proteomics using a label-free quantification (LFQ) approach: data-dependent and data-independent acquisition-based strategies.

We discuss the advantages of each in different situations to help you apply the right method for your needs.

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