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Tesorai Resources

Learn, Apply, Discover

Whether you're just getting started or going deep, explore how our approach can help you grow your research with confidence.

Learning Hub

Get started

Learn how to set up your first analysis with Tesorai Search. This guide walks you through uploading your data, running a search, and reviewing the results.

Publication

A pan-cancer atlas of therapeutic T cell targets

Our collaborators at NYU have deposited a preprint on bioRxiv describing the use of Tesorai for identifying cancer antigens that could be used for therapeutic targeting.

Publication

Spectrum and peptide sequence are sufficient for top-tier mass spectrometry proteomics identification

The Tesorai team has updated the bioRxiv preprint describing the implementation of Tesorai Search, including detailed benchmarking of Tesorai against other leading software across multiple datasets.

Media

Development of a large pretrained model for Tesorai Search

Peter's lecture at MaxQuant Summer School 2024 describing the principles underlying how Search was built.

Media

Building Tesorai - an interview with Peter

Tanja Janko with the ASEF spoke with Peter about the creation of Tesorai and the future of molecular analysis.

Blog Post

Unlocking the power of proteomics in healthcare and drug discovery

Proteomics studies all proteins in the body, revealing how genes drive cellular functions. Unlike the stable genome, the dynamic proteome reflects real-time health and responses to diet, environment, and disease.

Blog Post

Back to basics: Spectrum are all you need for better proteomics identifications

Tesorai Search re-centers proteomics on its foundation — the spectrum and the sequence — using a large pre-trained model that delivers both higher sensitivity and speed.

Blog Post

Differential proteomics: Unpacking the protein table

Blog Post

Dark matter matters: The untapped potential of data processing in life sciences

Biology now relies on big-data, high-throughput workflows to process and interpret signals from instruments like DNA sequencers and mass spectrometers. These workflows convert raw data into meaningful biological insights, helping identify disease drivers, drug targets, and biomarkers.

Blog Post

Learning the grass, not the cow: How overfitting can mislead proteomics searches

Tools like Percolator can boost sensitivity, but overfitting can cause models to mistake artifacts for real signals, leading to more false positives.

Publication

AI-enhanced analysis of mass spectrometry data yields higher identifications and faster insights with an intuitive chat interface for DDA and DIA datasets

Mass spectrometry (MS)-based proteomics is a poweful tool for high-throughput protein identification and quantification.

Publication

AI-enhanced analysis of mass spectrometry data yields higher identifications and faster insights with an intuitive chat interface

Mass spectrometry (MS)-based proteomics enables high-throughput identification and quantification of proteins in complex biological systems.

Publication

Enhanced protein identification and quantification improve differential expression analysis

Accurate protein identification and quantification are central to extracting meaningful biological insights from mass spectrometry (MS)-based proteomics.

Learning Hub

Demo video

See Tesorai Chat in action and watch examples of how it can make data visualization faster and easier.

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