Upload sequencing data, configure your pipeline, and let Omicsy handle the rest — scaling on Google Cloud Batch so you can focus on the science.
From raw reads to assembled genomes — Omicsy manages the full workflow without you touching a server.
Jobs run on Google Cloud Batch in isolated containers. Scales to hundreds of samples without any cluster management.
Snakemake workflows covering QC, assembly, binning, taxonomy, and functional annotation — all version-controlled.
Organise sequencing datasets by project. Upload paired-end or single-end FASTQ files directly from your browser.
JWT authentication, per-workspace isolation, and GCS-signed URLs ensure your sequencing data stays private.
Automatically generated summaries of job results powered by Gemini — understand your data faster.
Real-time compute cost tracking per job. Know exactly what each pipeline run costs before you submit.
Modular pipeline steps you can compose and configure for your experimental design.
Adapter trimming and quality filtering with fastp. Paired-end and single-end support.
De novo metagenomic assembly with MEGAHIT or metaSPAdes. Co-assembly across samples.
Contig binning with MetaBAT2, MaxBin2, and DAS Tool ensemble refinement.
MAG classification with GTDB-Tk against the latest Genome Taxonomy Database release.
Gene prediction and functional annotation using Prodigal, HMMER, and eggNOG-mapper.
Sign up and have your first metagenomic dataset analysed in minutes — no configuration required.
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