Use Cases
Genomics research doesn’t fit one mold —
neither do we
GenoLens adapts to the specific workflows, regulatory requirements, and output needs of different scientific communities.
Accelerate from expression data to validated targets
Drug discovery is data-intensive. GenoLens eliminates the computational bottleneck between RNA-seq datasets and actionable biology — whether identifying targets, stratifying patient cohorts, or validating gene signatures for companion diagnostics.
Often paired with the Drug discovery module.
The challenges GenoLens solves
Weeks of pipeline maintenance delays wet-lab results. GenoLens removes the computational barrier entirely.
Regulatory submissions demand traceable analyses. GenoLens records every parameter, version, and step.
Comparing across GEO datasets, internal studies, and clinical cohorts requires normalisation expertise — GenoLens handles it.
Generating reports for stakeholders, IP teams, and regulators consumes precious research time.
Typical Workflow
Step-by-step pipeline
From grant application to published results
Academic labs face resource constraints that make in-house bioinformatics infrastructure impractical. GenoLens gives every researcher — from PhD student to PI — access to professional-grade transcriptomics without infrastructure investment.
Often paired with the Scientific tools module.
The challenges GenoLens solves
GenoLens auto-generates a complete Methods paragraph with software versions, parameters, and citations — peer-review ready.
Share interactive result links with collaborators or reviewers. No account required to view shared analyses.
Ships with curated public datasets (TCGA, GEO) for pedagogical use in bioinformatics courses.
Institutional licenses with multi-user access fit standard equipment grant budgets.
Typical Workflow
Step-by-step pipeline
Evidence-based cosmetic claims from gene expression
Modern cosmetics claims substantiation increasingly requires transcriptomic evidence. GenoLens enables R&D teams without bioinformatics expertise to generate publication-quality evidence for active ingredient efficacy — from skin biopsy RNA-seq to regulatory dossier in days.
Often paired with the Skin claims module.
The challenges GenoLens solves
Quantify transcriptomic response to topical actives vs. vehicle controls at multiple time points.
Pre-loaded skin-specific gene sets: collagen synthesis, barrier function, melanogenesis, inflammation, aging hallmarks.
Export PDFs formatted for EU cosmetics regulatory submissions (EC 1223/2009 context).
Designed for cosmetologists and dermatologists — not computational biologists. Guided workflows with contextual help.
Typical Workflow
Step-by-step pipeline
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Explore how GenoLens fits your research
Book a 30-minute demo tailored to your sector. Our scientific team will walk through a real analysis with your data if you wish.