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Omabit

Omabit provides an AI‑driven platform that lets biologists and researchers upload sequencing files and ask plain‑English questions to receive structured, reproducible genomic analysis results without writing pipelines. The service automatically handles tasks such as pathway enrichment against KEGG, Reactome and GO, and fuzzy‑matches sample IDs across datasets, delivering traceable, exportable outputs for drug trial studies.

San Francisco, United StatesFounded 2025350+ followers
Updated 12 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Biologists and researchers often have large sequencing datasets but lack programming skills or pipeline infrastructure to analyze them, leading to long, manual, and error‑prone workflows that can take months to produce reproducible results.

Solution

Omabit offers an AI‑driven platform that lets users upload sequencing files and ask analysis questions in plain English. The system automatically performs data preprocessing, ID reconciliation, and statistical analyses, delivering structured, exportable results within a day. Built‑in pathway enrichment against KEGG, Reactome, GO, and Enrichr provides immediate biological interpretation. All steps are logged for traceability, and results are reproducible without any scripting or pipeline engineering.

Target Audience

Primary users are wet‑lab biologists, academic researchers, and clinical‑stage pharmaceutical scientists who need rapid, code‑free genomic analysis of sequencing data.

Features

  • Plain‑English interface that translates natural‑language queries into complete genomic analysis pipelines
  • Automatic fuzzy matching and data joins to reconcile mismatched sample or gene identifiers across files
  • Integrated pathway enrichment with KEGG, Reactome, GO, and Enrichr, delivering statistically over‑represented disease pathways
  • End‑to‑end logging of each analysis step for auditability and reproducibility
  • Interactive visualizations and shareable, exportable result files for downstream reporting
  • Cloud‑based execution that scales to large datasets, reducing typical three‑month pipelines to a single day
This profile is AI-generated and may contain inaccuracies.