Small RNA Analysis,
Automated.
Upload FASTQs. Get differential expression, novel transcripts, and disease annotations from curated databases — all in one platform.
Small RNA Analysis Has a Structural Gap
Analysis Is a Bottleneck
Most teams wait weeks for results from overloaded collaborators or outsourced bioinformatics.
Fragmented Toolchains
Stitching together Trim Galore, Bowtie, miRDeep2, and DESeq2 demands deep expertise and constant maintenance.
Results Without Context
Standard pipelines stop at differential expression. You still cross-reference disease databases manually.
Manual Pipeline vs. Autoligo
Without Autoligo
- ✕Weeks of turnaround waiting on collaborators
- ✕5+ tools to install, configure, and maintain
- ✕Results stop at a count matrix
- ✕Manual database lookups for every miRNA
- ✕Hard to reproduce across labs and runs
With Autoligo
- ✓Upload FASTQs, results ready in minutes
- ✓One platform — no setup, no maintenance
- ✓Differential expression, QC, novel transcripts
- ✓Disease annotations delivered automatically
- ✓Fully parameterized, versioned, reproducible
Four Steps from Upload to Insight
Autoligo handles the full analytical chain so you can focus on the science.
Upload FASTQs
Drag and drop raw sequencing files. Format and metadata are validated automatically.
Run the Pipeline
QC, trimming, alignment, quantification, differential expression, and novel transcript prediction.
Explore Results
Volcano plots, QC dashboards, expression heatmaps, and per-miRNA annotation panels.
Annotated Results
Every miRNA cross-referenced against curated disease and target databases. Data to hypothesis, one interface.
Publication-Ready Results, Built In
Every run delivers a complete analytical package — no assembly required.
| miRNA | log₂FC | Status |
|---|---|---|
| hsa-miR-21-5p | +2.4 | DE Oncology |
| hsa-miR-155-5p | +1.8 | DE Immune |
| hsa-miR-126-3p | −1.6 | DE Cardiac |
| hsa-miR-223-3p | +1.2 | DE |
Everything a smRNA-Seq Study Requires
Novel Transcript Prediction
De novo miRNA candidate discovery via miRDeep2, embedded in every run. Capture signals beyond known miRBase annotations automatically.
DifferentiatorReproducible by Default
Every run is fully parameterized and logged. Complete audit trail from FASTQ to results.
CoreDifferential Expression
Define contrasts, set FDR thresholds, and get annotated results with interactive visualizations.
Core35+ QC Metrics per Run
Read quality, adapter content, alignment rates, and library complexity. Exportable for publication.
TransparencyCloud or On-Premise
Deploy as cloud-hosted or on-premise for data sovereignty. Same interface, either environment.
EnterpriseBuilt for the Teams Doing the Science
RNA Biology Teams Without Dedicated Bioinformatics
- Eliminate analysis bottlenecks
- Audit-ready outputs for submissions
- Accelerate target prioritization
Upgrade Your smRNA-Seq Deliverable
- Higher-value deliverables, no extra headcount
- Consistent infrastructure across projects
- On-premise for sensitive client data
From PI Labs to Core Facilities
- No bioinformatics FTE required
- Grant-ready QC documentation
- Per-project access and sharing
Automate the Routine, Focus on the Novel
- Parameterized, auditable runs
- Configurable annotation databases
- API access (coming soon)
A Configurable Annotation Layer
When your analysis completes, every detected miRNA is annotated against comprehensive disease and target knowledge bases. Swap databases, add proprietary sources, or extend with program-specific annotations. Academic licensing available.
- Disease associations surfaced alongside differential expression results
- Target gene networks linked to experimental expression changes
- Configurable sources — add proprietary or program-specific annotations
See Autoligo With Your Own Data
We are onboarding early access partners now. We’ll review your request and follow up by email.
Prefer email? Reach us at [email protected]