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GenoLensGenoLens

Decode gene expression in minutes

GenoLens turns raw RNA-seq data into publication-ready insights. AI-powered analysis and interpretation, no bioinformatics expertise required.

The GenoLens analysis dashboard

Everything your lab needs

A complete transcriptomics workflow, from raw counts to biological meaning.

GenoLens interactive visualizations

Interactive Visualizations

Volcano plots, heatmaps and dot plots, exportable as SVG/PNG at 300 DPI.

AI Interpretation

A custom LLM turns your results into structured biological narratives with mechanistic insight.

Automation & APIs

PythonRNextflowSnakemakeREST API

Cosmetics Module

Add-on

Dedicated readouts and endpoints for cosmetic efficacy and safety studies, tuned for skin biology.

GenoLens volcano plot

Differential Expression

DESeq2/EdgeR-equivalent pipeline with multi-group contrasts and FDR correction.

Clustering & Dim. Reduction

K-means, hierarchical clustering, PCA, UMAP and t-SNE.

Pathway Enrichment

GO, KEGG and Reactome analysis via Fisher's exact test and GSEA.

Publication-ready GenoLens report

Custom PDF Reports

One-click branded, publication-ready PDF reports of your analysis.

From upload to publication in three steps

Follow the flow, GenoLens does the heavy lifting.

01

Upload Your Data

Drag-and-drop count matrix (CSV/TSV/XLSX) or API. GenoLens validates format, maps gene identifiers, converts to optimised Parquet.

02

Configure & Analyse

Define sample groups, normalisation, and analyses. DEG, clustering, and enrichment run concurrently via cloud task queue.

03

Explore & Interpret

Browse interactive dashboards, request AI narrative, export figures, share reproducible links with reviewers.

Ready to decode your data?

Start analysing your RNA-seq data with GenoLens today.