Find datasets, review the evidence, or plan independent validation.
Which public datasets are potentially useful for my biological question?
What you get: Ranked datasets with explanations of their relevance and available evidence about their suitability.
Results are a starting point for review. Missing evidence leaves suitability unknown.
Public dataset search is free.
Open SearchBrowse curated studies and samples for a disease or research area.
What you get: Versioned collections with study details, cohort definitions, source records, and supported exports.
Check each collection against your research question. Example previews are labeled separately from curated releases.
Public previews are free. Full collections and exports require access approval. Online checkout is not available.
Open Curated Disease CollectionsDocument which datasets and samples fit your research question, and why.
What you get: A reviewed selection report and JSON export explaining included and excluded samples, supporting evidence, and limitations. A separate workflow provides single-gene expression reports.
A selection report documents your choices. Expression reports have separate evidence and review requirements.
Selection drafts are free with an active account. Reviewed reports require a purchase or an eligible Multi-Cohort or plan allowance. Contact Siftome for access; online checkout is unavailable. Expression reports are currently limited to employees.
Open Evidence PackFind independent datasets to test an existing finding, gene signature, or biomarker.
What you get: Candidate cohorts and saved working reports, with the option of a reviewed frozen Validation Plan documenting suitability, independence, exclusions, and limitations.
Known or possible overlap with your original datasets is recorded; missing evidence remains unknown.
Paid product access is currently limited to Siftome employees while payment setup is in progress.
Open External Validation FinderTo run an analysis, use Gene Signature Validator, Differential Expression, or Multi-Cohort Meta-Analysis.