From raw sequencing data to discovery. Zero code.

Search. Design. Analyze. Discover. One local platform from public database search and experiment planning through raw data analysis to reproducible biological insight.

  • 01scRNA-seq covers QC, doublet detection, clustering, and trajectory analysis.
  • 02Bulk RNA-seq delivers differential expression, enrichment, and network analysis.
  • 03Immune profiling characterizes immune cell populations and receptor repertoires.
  • 01Interactive UMAP, tSNE, heatmap, and volcano plots update in real time.
  • 02Drill into gene-level results, markers, and pathway scores.
  • 03Run additional custom analyses directly on the visualized data.
  • 01Find studies even when you do not know the accession number.
  • 02Download files directly into the local analysis workflow.
  • 03Compare public datasets against your own experiments.
  • 01Automatic test selection based on data type, distribution, and study design.
  • 02Plain-language explanations accompany every statistical choice.
  • 03Multiple testing correction and effect sizes are reported by default.
  • 01Curated reference of validated marker signatures across all major cell types.
  • 02Each cluster is assigned an exact biological address, not a generic label.
  • 03State transitions and trajectories are traced through the annotated landscape.
Science

Evidence-driven design.

01

From Clicks to Conversations

A controlled study with 51 participants comparing Cell SEQR's conversational approach against SPSS, SAS, Stata, and JMP. Result: 90% accuracy vs 28%, 27% faster, and 61% fewer interactions.

Published in International Journal of Human-Computer Interaction, 2025.

Read the full paper
02

From FASTQ to Insight In progress

End-to-end automated RNA-seq analysis through guided conversational pipelines. Details coming soon.

FAQ

Frequently asked questions.

Yes. Cell SEQR runs entirely on your local machine or your own infrastructure, with no internet connection required after setup.

No. Drag and drop your FASTQ files into the platform and the pipeline handles quality control through final statistical analysis.

Manual mode still requires zero coding. You can modify thresholds, review explanations for each setting, and evaluate whether results match the research question.

Yes. Cell SEQR provides interactive views for comparing treatments, conditions, and sample groups with visual side-by-side tools.

Type a project, accession number, or keyword query. Cell SEQR retrieves matching studies with summaries and accession numbers, then downloads and analyzes selected data.

Built-in quality checks evaluate the data and report findings immediately, like a diagnostic report, before downstream analysis begins.

Your data stays on your own machine or infrastructure. No third-party cloud upload or external storage is required.

Galaxy and Nextflow still require bioinformatics expertise to configure and run. Cell SEQR is built for wet-lab scientists with zero coding background, while giving experienced users custom control when needed.

Contact

Request a Demo

Interested in Cell SEQR? Reach out and we will get back to you.