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@omicverse

omicverse

Building interoperable open-source tools for next-generation omics data analysis.

omicverse

Welcome to omicverse!

omicverse is a community-built open-source ecosystem for omics data analysis in Python — from foundational I/O and reimagined algorithms to end-user interfaces. Everything you see below is open to contribution, whether you bring a new algorithm, a tutorial, or a port of an R package.

Architecture

omicverse
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ToolsTutorialsAlgorithmsFoundations
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omicverse-omicclawsingle_cell_yourIn-houseIntegratedR bridgesanndata-oomnotebooktutorialtutorialwelcome │
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py-monocle2py-CellChat(planned)

In-house · original ML / DL methods — contributions welcome | Integrated · best-in-class methods unified under one API

Here's how to get started:

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  1. omicverseomicversePublic

    A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

    Python 1.2k 147

  2. anndata-oomanndata-oomPublic

    Out-of-memory AnnData powered by Rust — a drop-in replacement for anndata.AnnData that keeps the expression matrix on disk and runs entire preprocessing pipelines

    Jupyter Notebook 10 1

  3. omicverse-notebookomicverse-notebookPublic

    JupyterLab plugin that brings the omicverse-web DataFrame and AnnData preview ideas into a standalone package.

    CSS 1 1

  4. omicverse-rebuildromicverse-rebuildrPublic

    A reference-driven protocol for porting R / Bioconductor packages to pure-Python py-<pkg> standalones with class-aware numerical parity gates and verifier-guided acceleration.

    Python 10 1

Repositories

Showing 10 of 99 repositories

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