[](https://pypi.org/project/omicverse) [](https://omicverse.readthedocs.io/en/latest/?badge=latest) [](https://pepy.tech/project/omicverse) [](https://anaconda.org/conda-forge/omicverse) [](https://img.shields.io/apm/l/vim-mode) [](https://scverse.org/) [](https://github.com/Starlitnightly/omicverse/)
**`OmicVerse`** is the fundamental package for multi omics included **bulk ,single cell and spatial RNA-seq** analysis with Python. For more information, please read our paper: [OmicVerse: A single pipeline for exploring the entire transcriptome universe](https://www.biorxiv.org/content/10.1101/2023.06.06.543913v2)
> [!IMPORTANT]
>
> **Star Us**, You will receive all release notifications from GitHub without any delay \~ ⭐️
>
> If you like **OmicVerse** and want to support our mission, please consider making a [💗donation](https://afdian.net/a/starlitnightly) to support our efforts.
Star History
## `1` [Introduction][docs-feat-provider]
The original name of the omicverse was [Pyomic](https://pypi.org/project/Pyomic/), but we wanted to address a whole universe of transcriptomics, so we changed the name to **`OmicVerse`**, it aimed to solve all task in RNA-seq.
> [!NOTE]
> **BulkTrajBlend** algorithm in OmicVerse that combines Beta-Variational AutoEncoder for deconvolution and graph neural networks for overlapping community discovery to effectively interpolate and restore the continuity of **"omission"** cells in the original scRNA-seq data.
## `2` [Directory structure](#)
````shell
.
├── omicverse # Main Python package
├── omicverse_guide # Documentation files
├── sample # Some test data
├── LICENSE
└── README.md
````
## `3` [Getting Started ](#)
OmicVerse can be installed via conda or pypi and you need to install `pytorch` at first. Please refer to the [installation tutorial](https://starlitnightly.github.io/omicverse/Installation_guild/) for more detailed installation steps and adaptations for different platforms (`Windows`, `Linux` or `Mac OS`).
You can use `conda install omicverse -c conda-forge` or `pip install -U omicverse` for installation.
Please checkout the documentations and tutorials at [omicverse page](https://starlitnightly.github.io/omicverse/) or [omicverse.readthedocs.io](https://omicverse.readthedocs.io/en/latest/index.html).
## `4` [Data Framework and Reference](#)
The omicverse is implemented as an infrastructure based on the following four data structures.
---
**Included Package not published or preprint**
- [1] [Cellula](https://github.com/andrecossa5/Cellula/) is to provide a toolkit for the exploration of scRNA-seq. These tools perform common single-cell analysis tasks
- [2] [pegasus](https://github.com/lilab-bcb/pegasus/) is a tool for analyzing transcriptomes of millions of single cells. It is a command line tool, a python package and a base for Cloud-based analysis workflows.
- [3] [cNMF](https://github.com/dylkot/cNMF) is an analysis pipeline for inferring gene expression programs from single-cell RNA-Seq (scRNA-Seq) data.
## `5` [Contact](#)
- Zehua Zeng ([starlitnightly@163.com](mailto:starlitnightly@163.com) or [zehuazeng@xs.ustb.edu.cn](mailto:zehuazeng@xs.ustb.edu.cn))
- Lei Hu ([hulei@westlake.edu.cn](mailto:hulei@westlake.edu.cn))
## `6` [Developer Guild and Contributing](#)
If you would like to contribute to omicverse, please refer to our [developer documentation](https://omicverse.readthedocs.io/en/latest/Developer_guild/).
> [!IMPORTANT]
> We would like to thank the following WeChat Official Accounts for promoting Omicverse.
>
