Application note

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.

Explore more resources

Technical explainers, publications, guides, and perspectives on proteomics data analysis and biological discovery.

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Building a Pan-Cancer Atlas of Therapeutic T Cell Targets

How NYU researchers used large-scale immunopeptidomics and AI-enabled peptide identification to identify 28,446 tumor-specific antigens and accelerate therapeutic target discovery.

Guangyuan (Frank) Li, PhD, NYU Langone Health

FDR, Match-Between-Runs, and Immunopeptidomics: A Plain-Language Guide

Three concepts that determine whether you can trust your proteomics results — and what to look for when evaluating any search engine.

How Tesorai Works

How Tesorai Search gets more identifications without cutting corners on error control — the scoring model, the FDR methodology, and how it handles both DDA and DIA, in one place.