Tesorai Trove
Strengthen your findings with public proteomics data.
Find relevant datasets, analyze them in Chat, and compare results across studies, without downloading raw files or rebuilding pipelines.
Beyond literature search
The evidence you need may already be in the data
A publication reports the questions its authors set out to answer. Trove lets you return to the underlying data, ask questions of your own, and test your findings across relevant studies.
Traditional literature search
Find papers through titles, abstracts, and keywords
See the findings selected for publication
Follow each study's original research question
Tesorai Trove
Find datasets based on their biological relevance
Explore the underlying processed proteomics data
Ask new questions across one or multiple studies
DATASET COVERAGE
Thousands
Public proteomics datasets
Initial focus
Human tissues and biofluids
Current source
PRIDE, with more repositories to come
Dataset count refers to individual public datasets deposited in PRIDE and available through Trove. Coverage continues to grow.
How it works
From an initial finding to stronger evidence
Trove connects public-data discovery directly to analysis in Tesorai Chat.
Discovery
Find datasets relevant to your question
Search by disease, tissue, organism, and study context to identify public datasets that can extend or challenge your finding.
Analysis
Ask your question
Open a selected dataset directly in Chat, compare conditions, and explore whether the same biological signal appears.
Cross-dataset comparison
See whether the finding holds across studies
Save analyses of your private data as files, then bring those files into Chat alongside selected Trove datasets. Analyze them together to see which findings recur, where the evidence differs, and whether your signal holds across studies.
What Trove enables
The experiment may be complete.
The data still has more to reveal.
Put your findings to the test
Find a relevant dataset and continue directly into analysis with Tesorai Chat.
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Insights leveraging every byte of raw data