Research faster.
Discover more.

Upload your omics data, describe your research goals, and receive publication-ready figures, statistics, and insights through conversation.

How it works

Upload, describe, receive.

Turn research goals into reproducible analyses through natural-language conversation. MoIRA handles the computational work so you can focus on the science.

01 / UPLOAD
Drop your raw data into the chat.
IDATIDATIDATIDATIDATIDATSAMPLESHEET.CSV6 SAMPLES · 8 COLS.IDAT PAIRS
02 / DESCRIBE
Tell MoIRA what you're studying.
03 / ANALYZE
Ask any question. Get results.
−101036Δβ (KO − WT)−log10 (p)VOLCANO · KO vs WT · 2,148 DMP
See it in action

See the reasoning. Trust the results.

Every analysis is planned in conversation, reviewed by you, and executed transparently from start to finish.

Before computation begins, MoIRA explains the workflow, highlights key assumptions, and asks for approval. You stay in control of every analysis.

KO vs WT methylation · MoIRA
Ask MoIRA about your analysis...

Every stage of the analysis remains visible from start to finish. Each script, method, and intermediate file is documented and preserved for review and reproducibility.

Dependencies
Workflow requirements are checked automatically to prevent invalid analyses from running.
Checkpoints
Review and approve key decisions before execution. Critical workflow choices are still in your hands.
The roadmap

One platform.
Every omic.

MoIRA is designed as a unified interface for biological data analysis, where each new modality brings specialized workflows and visualizations into the same conversational experience. Every assay is shipped only after the complete workflow has been validated end-to-end.

Live todayShipping
DNA methylation arrays
27k · 450k · EPIC · EPICv2 · Mouse
Next upIn development
Single-cell RNA-seqSingle-cell ATAC-seqBulk RNA-seq
Bulk RNA-seq covers mRNA, miRNA & tRNA
Soon afterValidating
Whole-genome sequencingWhole-exome sequencing
PlannedOn the roadmap
Bulk ATAC-seqChIP-seqCUT&RUN · CUT&TAGSpatial transcriptomicsProteomicsWGBS · oxWGBSTargeted sequencingProtein & gene panels
ExploringLonger-term
LipidomicsMetabolomicsMicrobiomeImage-based analyses
Questions

The details matter.

Today: all major Illumina methylation arrays (27k, 450k, EPIC, EPICv2, Mouse). Next up in 2026: single-cell RNA-seq, single-cell ATAC-seq, and bulk RNA-seq — with WGS, WES, spatial, proteomics, ChIP-seq family, and more in the roadmap after that. We validate one modality at a time rather than shipping shallow support for many.
No. Raw files are the expected input for every modality — IDATs for methylation, FASTQs and BAMs for sequencing. If you've already preprocessed to a counts matrix or beta matrix, you can upload that too and MoIRA will skip to analysis.
It proposes a pipeline based on your data type, sample size, and samplesheet columns, then shows you the full plan before running. You can override any step via chat.
Your data is encrypted in transit and at rest on AWS S3. Analyses run in isolated sandboxes scoped to your account. Nothing is used for training.
Single-cell RNA, single-cell ATAC, and bulk RNA-seq are in active development for 2026. WGS and WES follow shortly after. If there's a modality you depend on, tell us — roadmap prioritization is real and customer-driven.
Yes. Every R and Python script generated for your analysis is available in the Files panel as a downloadable .py or .R file. You own the outputs.
Get started

The future of bioinformatics
is conversational.

Be among the first researchers to analyze omics data through natural-language conversation.