Researchers
Wet lab and dry lab, treated as equal class.
For academic, biotechnology, and pharmaceutical R&D, hospital research arms, contract research organisations, and university bioinformatics cores. The literature grounds the design, the design grounds the analysis, and the bench feeds back into the next design.
Methodology consensus
Begin from what the literature actually did.
Lumen reads full-text Methods sections, not abstracts, and aggregates concrete parameter values with citation counts and a strength indicator. Where there is no evidence, it says so.
Libraries were sequenced to a depth of approximately 30 million reads per sample. Differential expression was assessed with DESeq2; genes with absolute log2 fold-change ≥ 1.5 and Benjamini–Hochberg adjusted p < 0.05 were considered significant. Each condition comprised six biological replicates.
| Parameter | Consensus value | Evidence |
|---|---|---|
| Sequencing depth | 30M reads / sample | 28 citations· Strong |
| Fold-change threshold | |log2FC| ≥ 1.5 | 19 citations· Moderate |
| Multiple-testing correction | Benjamini–Hochberg FDR 0.05 | 34 citations· Strong |
| Sample size | n = 6 per group | 12 citations· Moderate |
| Batch-effect model | No literature evidence available | No literature evidence |
Lab-in-the-loop
Design-Build-Test-Learn, closed.
Labtrack outcomes feed back into Praxis, attributed distinctly from published literature so you always know whether a recommendation rests on your bench or the record.
Across the roles
One loop, many practitioners
Wet-lab researchers
Capture experimental outcomes in Labtrack, yield, purity, success or failure with reason, and feed them back into the next Praxis design.
Dry-lab and bioinformatics
Plan analyses in Nexora with citation-justified parameters, then execute in Novora over Nextflow with full provenance.
Machine-learning practitioners
Run predictive models in Omnix with mandatory SHAP interpretability. Every prediction carries its feature attributions and the research-only annotation.
University bioinformatics cores
Serve multiple groups with reproducibility certificates and transparent quotas, not credit-based consumption pricing.
Free for qualifying academic use.
Transparent quotas against documented limits. No credits, no consumption metering.