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Capabilities

Smart power,
simple experience

Omicsy pairs scalable cloud compute with expert-guided AI to move from raw data to decisions faster — while keeping every step visible, auditable, and reproducible. Scroll through the capabilities that make it work.

01 — No code

No coding required

Run sophisticated metagenomics entirely from a simple, intuitive interface — no scripting, no command line, nothing to install. Point, click, and run. Sensible defaults get you going in seconds, while every advanced option stays one toggle away.

  • Point & click. Launch full pipelines from the browser — no terminal, no code.
  • Smart defaults, deep control. Curated settings out of the box; advanced options when you want them.
  • Nothing to install. No conda, no Docker, no HPC account — it all runs in the cloud.
Run Default settings Advanced options
02 — Data

Seamless data transfer & storage

Control everything from your browser while your data stays safely stored and backed up in the cloud. Move large files straight from sequencing providers, NCBI, or cloud buckets into Omicsy — then pull only what you need.

  • Cloud-native intake. Ingest from providers, NCBI, or buckets — no local downloads.
  • Resilient storage. Durable, backed-up workspaces available across devices and teams.
  • On-demand export. Secure transfers of just what you need, when you need it.
Sequencer NCBI Cloud bucket Omicsy cloud You
03 — Pipelines

The whole metagenomics workflow

From raw reads to annotated genomes, Omicsy runs every stage on one platform — quality filtering, assembly, binning, dereplication, mapping, quantification, and taxonomic and functional annotation. Run a single step or chain the lot.

  • End-to-end coverage. No stitching tools together — the full MAG workflow in one place.
  • Composable steps. Standardised inputs and outputs let stages slot together cleanly.
  • Battle-tested workflows. Containerised Snakemake pipelines, maintained and versioned.
Explore all pipelines
QC Assembly Binning Mapping Taxonomy
04 — Reference data

Curated databases, always current

The reference databases your pipelines depend on — taxonomy, genomes, functional catalogues — are hosted, indexed, and kept up to date for you. No multi-gigabyte downloads, no version drift, no manual re-indexing.

  • Maintained for you. References are refreshed and re-indexed automatically.
  • Version-pinned. Each run records exactly which database version it used.
  • Ready instantly. Pre-built indexes mean jobs start without a long setup.
GTDB NCBI Pfam v2024.2
05 — Compute

Powerful cloud computation

Efficient, transparent orchestration for omics workloads. Omicsy adapts to the scale of each pipeline stage — you never manage resources, tuning, or software environments. It handles all of it.

  • Automatic scaling. Light steps stay lean; heavy assemblies get what they need.
  • Managed environments. Containers and versions handled — no conda, no Docker setup.
  • Reproducible runs. Exact code, versions, and parameters recorded for every run.
running auto-scaled +
06 — Transparency

Understand every step

Omicsy is built to teach as you analyse. Each stage comes with a plain-language explanation of what it does and why it matters, backed by extended documentation — so the pipeline is never a black box.

  • Step-by-step context. What each stage does, in language you can act on.
  • Deep documentation. Every tool, parameter, and output explained in detail.
  • Learn while you work. Build real understanding instead of clicking blindly.
Read the documentation
Step
07 — Intelligence

Smart result distillation

When a pipeline completes, Omicsy doesn't just hand back raw files. It summarises findings, generates visualisations, and flags anomalies — so you spend time on biology, not on wrangling output tables.

  • AI-generated summaries. Plain-language digests with key stats and next steps.
  • Automated visualisations. Quality, abundance, and comparison plots for every run.
  • Export-ready outputs. Tables and figures formatted for papers and presentations.
raw output AI distil report
08 — Reproducibility

Reproducible & auditable by default

Every run captures a complete record — exact code, tool versions, parameters, reference database versions, and inputs — written to a standard manifest. Re-run a study months later and get the same result, or hand it to a reviewer with confidence.

  • Full provenance. Code, versions, parameters, and inputs recorded for every run.
  • Standard manifests. A consistent, machine-readable record across all pipelines.
  • Review-ready. Transparent methods that hold up to scrutiny and replication.
09 — Collaboration

Built for teams of any size

From a solo PhD student to a multi-institution consortium, Omicsy's workspace model scales with your collaboration. Role-aware permissions, dataset approvals, and a shared history keep everyone aligned — without the email chains.

  • Role-aware workspaces. Admin, analyst, and viewer roles per workspace.
  • Dataset governance. Upload approvals and audit trails for data integrity.
  • Shared project history. Every run, result, and annotation visible to the team.
Project Admin Analyst Analyst Viewer
10 — Pricing

Transparent, pay-as-you-go

No idle clusters, no surprise invoices. Workspaces run on credits that map directly to the storage and compute your research actually uses — with live balances and projected costs shown before you ever hit run. Start free and scale as you grow.

  • Pay for what you use. Credits track real compute and storage — nothing idle.
  • Costs up front. See the projected price of a run before you submit it.
  • Start free. A welcoming credit balance to run your first pipeline at no cost.
Workspace credits projected Compute Storage
Ready when you are

Put Omicsy
to work

Create a workspace, bring in your data, and run your first pipeline in minutes — no setup, no code, free to begin.

Launch Omicsy

No installation · Free to start · Read the docs