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For Bioinformaticians

Scalable Infrastructure for your Core Bio-informatics Pipelines

Stop building pipeline infrastructure from scratch. Run production-grade NGS data analysis, single-cell transcriptomics, and shotgun metagenomics on a secure, zero-ops platform built for bioinformaticians.

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Workflow

How it Works

Unfiltered reads in, Clean counts out.

Raw FASTQ files enter the pipeline and exit as sorted gene counts. Every step runs automatically. No terminal. No scripts. Just results.

  • Automatically filters, trims, and cleans raw FASTQ files.

  • Maps sequence reads against reference genomes.

  • Converts raw sequence data into clean gene expression matrices.
Pre Proccessing-1

Counts become biology here.

Normalized expression data runs through statistical models to surface differentially expressed genes complete with volcano plots, heatmaps, PCA, GO enrichment, and KEGG pathway mapping.

  • Identifies statistically significant, differentially expressed genes.

  • Evaluates biological variance using PCA plots and heatmaps.

  • Maps genes to functional biological and KEGG pathways.

Post Proccessing-1

See your data. Get the story.

Two interactive HTML reports Pre-Processing and Post-Processing delivered directly to your dashboard. Visual, shareable, and presentation-ready from the moment they land.

  • Delivers clear visual reports for primary and downstream analysis.

  • Generates high-resolution, interactive figures for quick reviews.

  • Streams results to your dashboard as soon as the run finishes.

Reports

Packaged. Publication-ready results.

From raw files to final figures every deliverable you need to write your paper or present your findings is waiting in your dashboard the moment the run finishes.

  • Achieve unmatched accuracy by automating IC reconciliation.
  • Gain full transparency through real-time status monitoring.

  • Ensure seamless integration with secure, flexible solutions.

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Our Pipeline Modules

Engineered for Performance, Built for Reproducibility

Lucanet automates financial consolidation, accelerating closing and reducing manual work. It integrates data from multiple sources for accurate, timely reporting.

Raw to refined

From raw files to final figures every deliverable you need to write your paper or present your findings is waiting in your dashboard the moment the run finishes.

Expression analysis

Statistical DEG analysis with normalized counts, volcano plots, and heatmaps. Know exactly what changed and why it matters.

Pathway enrichment

GO and KEGG analysis maps your gene list to real biological pathways. From data to discovery in one automated step.

10K+

Samples analyzed

99%

Pipeline accuracy

<24h

Turnaround time

200+

Research teams

Trusted by industry-leading institutes

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Got Questions?

We figured you'd ask

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Do I need bioinformatics experience to use this platform?

Not even close. Upload your raw FASTQ files and the platform takes it from there. QC, trimming, alignment, gene counting, normalization all automated. No terminal. No scripts. No prior bioinformatics knowledge needed at all.

How long does a full bulk RNA-seq analysis take?

Most runs wrap up within hours of submission. A standard 6-sample human RNA-seq experiment is typically done the same day. Your dashboard updates live the whole time so you're never left wondering where things stand.

What is the difference between bulk RNA-seq and single-cell RNA-seq?

Bulk RNA-seq measures average gene expression across your whole sample. It is fast, affordable and perfect for most DEG studies. Single-cell gives you cell-level resolution but costs significantly more and generates far larger datasets. Honestly? Most research questions get answered better and cheaper with bulk.

What does the post-processing report actually include?

A full DEG table with log2 fold change and adjusted p-values. Volcano plots. Heatmaps. PCA plots. GO enrichment and KEGG pathway maps. All packed into one interactive HTML report you can open in any browser and share with your team instantly.

How long does the analysis take?

Analysis time depends on the size of your dataset, number of samples, and selected workflow. Most projects are processed automatically, and progress can be monitored directly from your dashboard.

Is my sequencing data safe and private?

100% private. You own everything you upload. It is never shared. Never sold. Results are securely archived for 90 days then permanently deleted from our servers. No exceptions. No fine print.

Get Started

Ready to turn your raw sequencing data
into publication-ready results?