Mechanistic interpretations stay attached to retrieved records. Zero hits are marked as insufficient evidence.
Deterministic analysis · traceable evidence
Turn experimental data into
conclusions that withstand scrutiny.
Start with an expression matrix. Inspect the data, run differential analysis, verify the literature, test a candidate gap, and plan the next experiment. Tools calculate the statistics; every evidence claim opens to a source.
CSV / TSV · resumable results · PMID / DOI evidence · reproducible code
Research question
Which genes changed reliably between treatment and control?
6 samples · control 3 / treatment 3 · no missing values
Welch t-test · BH FDR · 6 significant genes
8 candidate papers · 3 highly relevant
Differential expression
Results you can inspect
Why CiteLab
Research improves through another check, not another paragraph.
One continuous workspace keeps data, methods, evidence, candidate gaps, and next actions in the same task.
Calculate before interpreting
Data checks, Welch tests, and BH FDR run in deterministic tools rather than improvised prose.
Open every source
Evidence connects to PubMed, OpenAlex, PMID, and DOI; zero hits stay explicitly insufficient.
Test the gap, then act
Separate support, counterevidence, uncertainty, feasibility, and the next experiment.
Built for real research work
Designed around work that actually happens at the bench.
One continuous workflow
From data to the next experiment without losing context.
The task, results, evidence, search protocol, and follow-up questions remain in one research record.
- 01
Inspect data
Identify groups, sample size, missingness, and format risks.
- 02
Run analysis
Use explicit methods and thresholds to produce inspectable results.
- 03
Build evidence
Retrieve papers, preserve the query strategy, and show evidence boundaries.
- 04
Validate the gap
Compare support and counterevidence before planning the next experiment.
Scientific restraint by default
No result is not novelty. Association is not causation.
CiteLab shows methods, sample sizes, thresholds, warnings, and retrieval provenance. A model cannot fill in a result a tool did not obtain.
Read the analysis and evidence guidesStart with a real question
Keep the next analysis on one research bench.
Start free and run the complete workflow with demo data.
Create a workbench