How we compare
Compare
The same rigorous analysis — without the assembly
Most RNA-seq analysis comes down to three routes: code it yourself, wait on a bioinformatician, or wire together a workflow platform. Liragen Insights runs the same DESeq2 pipeline and returns 22 linked, publication-ready reports with an AI-written interpretation — done for you, in the browser.
| Capability | Liragen Insights | Code it yourself (R / DESeq2) |
Bioinformatician / core facility |
Workflow platform (e.g. Galaxy) |
|---|---|---|---|---|
| No coding required (for you) | ✓ | — | ✓ | ~ |
| Automated DESeq2 pipeline + GO/KEGG + networks | ✓ | DIY | ✓ | ~ |
| 22 interactive, linked reports | ✓ | DIY | ~ | ~ |
| AI-written interpretation of every result | ✓ | — | ~ | — |
| Publication-ready figures, ready to export | ✓ | DIY | ✓ | ~ |
| Hosted — nothing to install or maintain | ✓ | — | ~ | ~ |
| Start from an NCBI accession or your own raw data | ✓ | ~ | ✓ | ~ |
| Self-serve — results in minutes, no queue | ✓ | ~ | — | ~ |
✓ = built in · ~ = partial / depends · DIY = possible, but you build it · — = not typically available. Every approach has real strengths; this reflects the common experience.
Sound familiar?
What Liragen replaces
Coding it yourself in R
DESeq2 and edgeR give you full control — at the cost of days of scripting, debugging, and plotting per project, and fresh code for every new question. Liragen runs the same pipeline and ships the plots and interpretation already built.
Waiting on a bioinformatician
Expert results, but a queue: turnaround in days or weeks, back-and-forth on every follow-up, and a static report you can’t explore. Liragen puts an interactive, self-explaining version directly in your hands.
Using a workflow platform
Tools like Galaxy are powerful and free — but you still assemble the workflow, choose parameters, wire up each report, and interpret the output yourself. Liragen is opinionated and end-to-end.
Straight talk
When another route makes sense
Highly custom experimental designs, novel statistical methods, or organisms without a standard reference may still call for bespoke code or a dedicated bioinformatician. Liragen Insights is built for the common case — standard bulk RNA-seq differential expression — and does it end to end. For everything it covers, it’s faster, cheaper, and self-serve.
See it on your own data
Point Liragen Insights at a public NCBI accession or your own raw data and get decision-ready reports — no code, no queue.