<h1 align="center">
<img src="https://raw.githubusercontent.com/Starlitnightly/omicverse/master/README.assets/logo.png" width="400">
</h1><br>
[](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 framework for bridging and deepening insights across bulk and single-cell sequencing](https://www.nature.com/articles/s41467-024-50194-3)
> [!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://ifdian.net/a/starlitnightly) to support our efforts.
<details>
<summary><kbd>Star History</kbd></summary>
<picture>
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## `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.
<div align="center">
<table>
<tr>
<td> <a href="https://github.com/pandas-dev/pandas">pandas</a></td>
<td> <a href="https://github.com/scverse/anndata">anndata</a></td>
<td> <a href="https://github.com/numpy/numpy">numpy</a></td>
<td> <a href="https://github.com/scverse/mudata">mudata</a></td>
</tr>
</table>
</div>
---
The table contains the tools have been published
<div align="center">
<table>
<tr>
<td align="center">Scanpy<br><a href="https://github.com/scverse/scanpy">📦</a> <a href="https://link.springer.com/article/10.1186/s13059-017-1382-0">📖</a></td>
<td align="center">dynamicTreeCut<br><a href="https://github.com/kylessmith/dynamicTreeCut">📦</a> <a href="https://academic.oup.com/bioinformatics/article/24/5/719/200751">📖</a></td>
<td align="center">scDrug<br><a href="https://github.com/ailabstw/scDrug">📦</a> <a href="https://www.sciencedirect.com/science/article/pii/S2001037022005505">📖</a></td>
<td align="center">MOFA<br><a href="https://github.com/bioFAM/mofapy2">📦</a> <a href="https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-02015-1">📖</a></td>
<td align="center">COSG<br><a href="https://github.com/genecell/COSG">📦</a> <a href="https://academic.oup.com/bib/advance-article-abstract/doi/10.1093/bib/bbab579/6511197?redirectedFrom=fulltext">📖</a></td>
<td align="center">CellphoneDB<br><a href="https://github.com/ventolab/CellphoneDB">📦</a> <a href="https://www.nature.com/articles/s41586-018-0698-6">📖</a></td>
</tr>
<tr>
<td align="center">AUCell<br><a href="https://github.com/aertslab/AUCell">📦</a> <a href="https://bioconductor.org/packages/AUCell">📖</a></td>
<td align="center">Bulk2Space<br><a href="https://github.com/ZJUFanLab/bulk2space">📦</a> <a href="https://www.nature.com/articles/s41467-022-34271-z">📖</a></td>
<td align="center">SCSA<br><a href="https://github.com/bioinfo-ibms-pumc/SCSA">📦</a> <a href="https://doi.org/10.3389/fgene.2020.00490">📖</a></td>
<td align="center">WGCNA<br><a href="http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA">📦</a> <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-559">📖</a></td>
<td align="center">VIA<br><a href="https://github.com/ShobiStassen/VIA">📦</a> <a href="https://www.nature.com/articles/s41467-021-25773-3">📖</a></td>
<td align="center">pyDEseq2<br><a href="https://github.com/owkin/PyDESeq2">📦</a> <a href="https://www.biorxiv.org/content/10.1101/2022.12.14.520412v1">📖</a></td>
</tr>
<tr>
<td align="center">NOCD<br><a href="https://github.com/shchur/overlapping-community-detection">📦</a> <a href="https://arxiv.org/abs/1909.12201">📖</a></td>
<td align="center">SIMBA<br><a href="https://github.com/pinellolab/simba">📦</a> <a href="https://www.nature.com/articles/s41592-023-01899-8">📖</a></td>
<td align="center">GLUE<br><a href="https://github.com/gao-lab/GLUE">📦</a> <a href="https://www.nature.com/articles/s41587-022-01284-4">📖</a></td>
<td align="center">MetaTiME<br><a href="https://github.com/yi-zhang/MetaTiME">📦</a> <a href="https://www.nature.com/articles/s41467-023-38333-8">📖</a></td>
<td align="center">TOSICA<br><a href="https://github.com/JackieHanLab/TOSICA">📦</a> <a href="https://doi.org/10.1038/s41467-023-35923-4">📖</a></td>
<td align="center">Harmony<br><a href="https://github.com/slowkow/harmonypy/">📦</a> <a href="https://www.nature.com/articles/s41592-019-0619-0">📖</a></td>
</tr>
<tr>
<td align="center">Scanorama<br><a href="https://github.com/brianhie/scanorama">📦</a> <a href="https://www.nature.com/articles/s41587-019-0113-3">📖</a></td>
<td align="center">Combat<br><a href="https://github.com/epigenelabs/pyComBat/">📦</a> <a href="https://doi.org/10.1101/2020.03.17.995431">📖</a></td>
<td align="center">TAPE<br><a href="https://github.com/poseidonchan/TAPE">📦</a> <a href="https://doi.org/10.1038/s41467-022-34550-9">📖</a></td>
<td align="center">SEACells<br><a href="https://github.com/dpeerlab/SEACells">📦</a> <a href="https://www.nature.com/articles/s41587-023-01716-9">📖</a></td>
<td align="center">Palantir<br><a href="https://github.com/dpeerlab/Palantir">📦</a> <a href="https://doi.org/10.1038/s41587-019-0068-49">📖</a></td>
<td align="center">STAGATE<br><a href="https://github.com/QIFEIDKN/STAGATE_pyG">📦</a> <a href="https://www.nature.com/articles/s41467-022-29439-6">📖</a></td>
</tr>
<tr>
<td align="center">scVI<br><a href="https://github.com/scverse/scvi-tools">📦</a> <a href="https://doi.org/10.1038/s41587-021-01206-w">📖</a></td>
<td align="center">MIRA<br><a href="https://github.com/cistrome/MIRA">📦</a> <a href="https://www.nature.com/articles/s41592-022-01595-z">📖</a></td>
<td align="center">Tangram<br><a href="https://github.com/broadinstitute/Tangram/">📦</a> <a href="https://www.nature.com/articles/s41592-021-01264-7">📖</a></td>
<td align="center">STAligner<br><a href="https://github.com/zhoux85/STAligner">📦</a> <a href="https://doi.org/10.1038/s43588-023-00528-w">📖</a></td>
<td align="center">CEFCON<br><a href="https://github.com/WPZgithub/CEFCON">📦</a> <a href="https://www.nature.com/articles/s41467-023-44103-3">📖</a></td>
<td align="center">PyComplexHeatmap<br><a href="https://github.com/DingWB/PyComplexHeatmap">📦</a> <a href="https://doi.org/10.1002/imt2.115">📖</a></td>
</tr>
<tr>
<td align="center">STT<br><a href="https://github.com/cliffzhou92/STT/">📦</a> <a href="https://www.nature.com/articles/s41592-024-02266-x#Sec2">📖</a></td>
<td align="center">SLAT<br><a href="https://github.com/gao-lab/SLAT">📦</a> <a href="https://www.nature.com/articles/s41467-023-43105-5">📖</a></td>
<td align="center">GPTCelltype<br><a href="https://github.com/Winnie09/GPTCelltype">📦</a> <a href="https://www.nature.com/articles/s41592-024-02235-4">📖</a></td>
<td align="center">PROST<br><a href="https://github.com/Tang-Lab-super/PROST">📦</a> <a href="https://doi.org/10.1038/s41467-024-44835-w">📖</a></td>
<td align="center">CytoTrace2<br><a href="https://github.com/digitalcytometry/cytotrace2">📦</a> <a href="https://doi.org/10.1101/2024.03.19.585637">📖</a></td>
<td align="center">GraphST<br><a href="https://github.com/JinmiaoChenLab/GraphST">📦</a> <a href="https://www.nature.com/articles/s41467-023-36796-3#citeas">📖</a></td>
</tr>
<tr>
<td align="center">COMPOSITE<br><a href="https://github.com/CHPGenetics/COMPOSITE/">📦</a> <a href="https://www.nature.com/articles/s41467-024-49448-x#Abs1">📖</a></td>
<td align="center">mellon<br><a href="https://github.com/settylab/mellon">📦</a> <a href="https://www.nature.com/articles/s41592-024-02302-w">📖</a></td>
<td align="center">starfysh<br><a href="https://github.com/azizilab/starfysh">📦</a> <a href="http://dx.doi.org/10.1038/s41587-024-02173-8">📖</a></td>
<td align="center">COMMOT<br><a href="https://github.com/zcang/COMMOT">📦</a> <a href="https://www.nature.com/articles/s41592-022-01728-4">📖</a></td>
<td align="center">flowsig<br><a href="https://github.com/axelalmet/flowsig">📦</a> <a href="https://doi.org/10.1038/s41592-024-02380-w">📖</a></td>
<td align="center">pyWGCNA<br><a href="https://github.com/mortazavilab/PyWGCNA">📦</a> <a href="https://doi.org/10.1093/bioinformatics/btad415">📖</a></td>
</tr>
<tr>
<td align="center">CAST<br><a href="https://github.com/wanglab-broad/CAST">📦</a> <a href="https://www.nature.com/articles/s41592-024-02410-7">📖</a></td>
</tr>
</table>
</div>
---
**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@gmail.com](mailto:starlitnightly@gmail.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/).
<table align="center">
<tr>
<th colspan="2">
<br><img src="https://contrib.rocks/image?repo=Starlitnightly/omicverse"><br><br>
</th>
</tr>
</table>
> [!IMPORTANT]
> We would like to thank the following WeChat Official Accounts for promoting Omicverse.
> <p align="center"> <a href="https://mp.weixin.qq.com/s/egAnRfr3etccU_RsN-zIlg" target="_blank" rel="noreferrer"> <img src="README.assets/image-20230701163953794.png" alt="linux" width="50" height="50"/> </a> <a href="https://zhuanlan.zhihu.com/c_1257815636945915904?page=3" target="_blank" rel="noreferrer"> <img src="README.assets/WechatIMG688.png" alt="linux" width="50" height="50"/> </a> </p>
## `7` [Citation](https://doi.org/10.1038/s41467-024-50194-3)
If you use `omicverse` in your work, please cite the `omicverse` publication as follows:
> **OmicVerse: a framework for bridging and deepening insights across bulk and single-cell sequencing**
>
> Zeng, Z., Ma, Y., Hu, L. et al.
>
> _Nature Communication_ 2024 Jul 16. doi: [10.1038/s41467-024-50194-3](https://doi.org/10.1038/s41467-024-50194-3).
## `8` [Other](#)
If you would like to sponsor the development of our project, you can go to the afdian website (https://afdian.net/a/starlitnightly) and sponsor us.
Copyright © 2024 [112 Lab](https://112lab.asia/). <br />
This project is [GPL3.0](./LICENSE) licensed.
<!-- LINK GROUP -->
[docs-feat-provider]: https://starlitnightly.github.io/omicverse/
Raw data
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"description": "<h1 align=\"center\">\n<img src=\"https://raw.githubusercontent.com/Starlitnightly/omicverse/master/README.assets/logo.png\" width=\"400\">\n</h1><br>\n\n[](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/) \n\n\n**`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 framework for bridging and deepening insights across bulk and single-cell sequencing](https://www.nature.com/articles/s41467-024-50194-3)\n\n> [!IMPORTANT]\n>\n> **Star Us**, You will receive all release notifications from GitHub without any delay \\~ \u2b50\ufe0f\n>\n> If you like **OmicVerse** and want to support our mission, please consider making a [\ud83d\udc97donation](https://ifdian.net/a/starlitnightly) to support our efforts.\n\n<details>\n <summary><kbd>Star History</kbd></summary>\n <picture>\n <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://api.star-history.com/svg?repos=Starlitnightly%2Fomicverse&theme=dark&type=Date\">\n <img width=\"100%\" src=\"https://api.star-history.com/svg?repos=Starlitnightly%2Fomicverse&type=Date\">\n </picture>\n</details>\n\n\n\n\n\n## `1` [Introduction][docs-feat-provider]\n\nThe 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.\n\n> [!NOTE]\n> **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.\n\n\n\n\n\n## `2` [Directory structure](#)\n\n````shell\n.\n\u251c\u2500\u2500 omicverse # Main Python package\n\u251c\u2500\u2500 omicverse_guide # Documentation files\n\u251c\u2500\u2500 sample # Some test data\n\u251c\u2500\u2500 LICENSE\n\u2514\u2500\u2500 README.md\n````\n\n## `3` [Getting Started ](#)\n\nOmicVerse 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`).\n\nYou can use `conda install omicverse -c conda-forge` or `pip install -U omicverse` for installation.\n\nPlease 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).\n\n## `4` [Data Framework and Reference](#)\n\nThe omicverse is implemented as an infrastructure based on the following four data structures.\n\n<div align=\"center\">\n<table>\n <tr>\n <td> <a href=\"https://github.com/pandas-dev/pandas\">pandas</a></td>\n <td> <a href=\"https://github.com/scverse/anndata\">anndata</a></td>\n <td> <a href=\"https://github.com/numpy/numpy\">numpy</a></td>\n <td> <a href=\"https://github.com/scverse/mudata\">mudata</a></td>\n </tr>\n\n</table>\n</div>\n\n---\n\nThe table contains the tools have been published \n\n<div align=\"center\">\n<table>\n\n <tr>\n <td align=\"center\">Scanpy<br><a href=\"https://github.com/scverse/scanpy\">\ud83d\udce6</a> <a href=\"https://link.springer.com/article/10.1186/s13059-017-1382-0\">\ud83d\udcd6</a></td>\n <td align=\"center\">dynamicTreeCut<br><a href=\"https://github.com/kylessmith/dynamicTreeCut\">\ud83d\udce6</a> <a href=\"https://academic.oup.com/bioinformatics/article/24/5/719/200751\">\ud83d\udcd6</a></td>\n <td align=\"center\">scDrug<br><a href=\"https://github.com/ailabstw/scDrug\">\ud83d\udce6</a> <a href=\"https://www.sciencedirect.com/science/article/pii/S2001037022005505\">\ud83d\udcd6</a></td>\n <td align=\"center\">MOFA<br><a href=\"https://github.com/bioFAM/mofapy2\">\ud83d\udce6</a> <a href=\"https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-02015-1\">\ud83d\udcd6</a></td>\n <td align=\"center\">COSG<br><a href=\"https://github.com/genecell/COSG\">\ud83d\udce6</a> <a href=\"https://academic.oup.com/bib/advance-article-abstract/doi/10.1093/bib/bbab579/6511197?redirectedFrom=fulltext\">\ud83d\udcd6</a></td>\n <td align=\"center\">CellphoneDB<br><a href=\"https://github.com/ventolab/CellphoneDB\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41586-018-0698-6\">\ud83d\udcd6</a></td>\n </tr>\n\n <tr>\n <td align=\"center\">AUCell<br><a href=\"https://github.com/aertslab/AUCell\">\ud83d\udce6</a> <a href=\"https://bioconductor.org/packages/AUCell\">\ud83d\udcd6</a></td>\n <td align=\"center\">Bulk2Space<br><a href=\"https://github.com/ZJUFanLab/bulk2space\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41467-022-34271-z\">\ud83d\udcd6</a></td>\n <td align=\"center\">SCSA<br><a href=\"https://github.com/bioinfo-ibms-pumc/SCSA\">\ud83d\udce6</a> <a href=\"https://doi.org/10.3389/fgene.2020.00490\">\ud83d\udcd6</a></td>\n <td align=\"center\">WGCNA<br><a href=\"http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA\">\ud83d\udce6</a> <a href=\"https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-559\">\ud83d\udcd6</a></td>\n <td align=\"center\">VIA<br><a href=\"https://github.com/ShobiStassen/VIA\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41467-021-25773-3\">\ud83d\udcd6</a></td>\n <td align=\"center\">pyDEseq2<br><a href=\"https://github.com/owkin/PyDESeq2\">\ud83d\udce6</a> <a href=\"https://www.biorxiv.org/content/10.1101/2022.12.14.520412v1\">\ud83d\udcd6</a></td>\n</tr>\n\n <tr>\n <td align=\"center\">NOCD<br><a href=\"https://github.com/shchur/overlapping-community-detection\">\ud83d\udce6</a> <a href=\"https://arxiv.org/abs/1909.12201\">\ud83d\udcd6</a></td>\n <td align=\"center\">SIMBA<br><a href=\"https://github.com/pinellolab/simba\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-023-01899-8\">\ud83d\udcd6</a></td>\n <td align=\"center\">GLUE<br><a href=\"https://github.com/gao-lab/GLUE\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41587-022-01284-4\">\ud83d\udcd6</a></td>\n <td align=\"center\">MetaTiME<br><a href=\"https://github.com/yi-zhang/MetaTiME\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41467-023-38333-8\">\ud83d\udcd6</a></td>\n <td align=\"center\">TOSICA<br><a href=\"https://github.com/JackieHanLab/TOSICA\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1038/s41467-023-35923-4\">\ud83d\udcd6</a></td>\n <td align=\"center\">Harmony<br><a href=\"https://github.com/slowkow/harmonypy/\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-019-0619-0\">\ud83d\udcd6</a></td>\n </tr>\n\n <tr>\n <td align=\"center\">Scanorama<br><a href=\"https://github.com/brianhie/scanorama\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41587-019-0113-3\">\ud83d\udcd6</a></td>\n <td align=\"center\">Combat<br><a href=\"https://github.com/epigenelabs/pyComBat/\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1101/2020.03.17.995431\">\ud83d\udcd6</a></td>\n <td align=\"center\">TAPE<br><a href=\"https://github.com/poseidonchan/TAPE\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1038/s41467-022-34550-9\">\ud83d\udcd6</a></td>\n <td align=\"center\">SEACells<br><a href=\"https://github.com/dpeerlab/SEACells\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41587-023-01716-9\">\ud83d\udcd6</a></td>\n <td align=\"center\">Palantir<br><a href=\"https://github.com/dpeerlab/Palantir\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1038/s41587-019-0068-49\">\ud83d\udcd6</a></td>\n <td align=\"center\">STAGATE<br><a href=\"https://github.com/QIFEIDKN/STAGATE_pyG\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41467-022-29439-6\">\ud83d\udcd6</a></td>\n </tr>\n\n <tr>\n <td align=\"center\">scVI<br><a href=\"https://github.com/scverse/scvi-tools\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1038/s41587-021-01206-w\">\ud83d\udcd6</a></td>\n <td align=\"center\">MIRA<br><a href=\"https://github.com/cistrome/MIRA\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-022-01595-z\">\ud83d\udcd6</a></td>\n <td align=\"center\">Tangram<br><a href=\"https://github.com/broadinstitute/Tangram/\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-021-01264-7\">\ud83d\udcd6</a></td>\n <td align=\"center\">STAligner<br><a href=\"https://github.com/zhoux85/STAligner\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1038/s43588-023-00528-w\">\ud83d\udcd6</a></td>\n <td align=\"center\">CEFCON<br><a href=\"https://github.com/WPZgithub/CEFCON\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41467-023-44103-3\">\ud83d\udcd6</a></td>\n <td align=\"center\">PyComplexHeatmap<br><a href=\"https://github.com/DingWB/PyComplexHeatmap\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1002/imt2.115\">\ud83d\udcd6</a></td>\n </tr>\n\n <tr>\n <td align=\"center\">STT<br><a href=\"https://github.com/cliffzhou92/STT/\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-024-02266-x#Sec2\">\ud83d\udcd6</a></td>\n <td align=\"center\">SLAT<br><a href=\"https://github.com/gao-lab/SLAT\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41467-023-43105-5\">\ud83d\udcd6</a></td>\n <td align=\"center\">GPTCelltype<br><a href=\"https://github.com/Winnie09/GPTCelltype\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-024-02235-4\">\ud83d\udcd6</a></td>\n <td align=\"center\">PROST<br><a href=\"https://github.com/Tang-Lab-super/PROST\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1038/s41467-024-44835-w\">\ud83d\udcd6</a></td>\n <td align=\"center\">CytoTrace2<br><a href=\"https://github.com/digitalcytometry/cytotrace2\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1101/2024.03.19.585637\">\ud83d\udcd6</a></td>\n <td align=\"center\">GraphST<br><a href=\"https://github.com/JinmiaoChenLab/GraphST\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41467-023-36796-3#citeas\">\ud83d\udcd6</a></td>\n </tr>\n\n <tr>\n <td align=\"center\">COMPOSITE<br><a href=\"https://github.com/CHPGenetics/COMPOSITE/\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41467-024-49448-x#Abs1\">\ud83d\udcd6</a></td>\n <td align=\"center\">mellon<br><a href=\"https://github.com/settylab/mellon\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-024-02302-w\">\ud83d\udcd6</a></td>\n <td align=\"center\">starfysh<br><a href=\"https://github.com/azizilab/starfysh\">\ud83d\udce6</a> <a href=\"http://dx.doi.org/10.1038/s41587-024-02173-8\">\ud83d\udcd6</a></td>\n <td align=\"center\">COMMOT<br><a href=\"https://github.com/zcang/COMMOT\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-022-01728-4\">\ud83d\udcd6</a></td>\n <td align=\"center\">flowsig<br><a href=\"https://github.com/axelalmet/flowsig\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1038/s41592-024-02380-w\">\ud83d\udcd6</a></td>\n <td align=\"center\">pyWGCNA<br><a href=\"https://github.com/mortazavilab/PyWGCNA\">\ud83d\udce6</a> <a href=\"https://doi.org/10.1093/bioinformatics/btad415\">\ud83d\udcd6</a></td>\n </tr>\n\n <tr>\n <td align=\"center\">CAST<br><a href=\"https://github.com/wanglab-broad/CAST\">\ud83d\udce6</a> <a href=\"https://www.nature.com/articles/s41592-024-02410-7\">\ud83d\udcd6</a></td>\n </tr>\n</table>\n</div>\n\n---\n\n**Included Package not published or preprint**\n\n- [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\n- [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.\n- [3] [cNMF](https://github.com/dylkot/cNMF) is an analysis pipeline for inferring gene expression programs from single-cell RNA-Seq (scRNA-Seq) data.\n\n## `5` [Contact](#)\n\n- Zehua Zeng ([starlitnightly@gmail.com](mailto:starlitnightly@gmail.com) or [zehuazeng@xs.ustb.edu.cn](mailto:zehuazeng@xs.ustb.edu.cn))\n- Lei Hu ([hulei@westlake.edu.cn](mailto:hulei@westlake.edu.cn))\n\n## `6` [Developer Guild and Contributing](#)\n\nIf you would like to contribute to omicverse, please refer to our [developer documentation](https://omicverse.readthedocs.io/en/latest/Developer_guild/).\n\n<table align=\"center\">\n <tr>\n <th colspan=\"2\">\n <br><img src=\"https://contrib.rocks/image?repo=Starlitnightly/omicverse\"><br><br>\n </th>\n </tr>\n</table>\n\n\n> [!IMPORTANT] \n> We would like to thank the following WeChat Official Accounts for promoting Omicverse.\n> <p align=\"center\"> <a href=\"https://mp.weixin.qq.com/s/egAnRfr3etccU_RsN-zIlg\" target=\"_blank\" rel=\"noreferrer\"> <img src=\"README.assets/image-20230701163953794.png\" alt=\"linux\" width=\"50\" height=\"50\"/> </a> <a href=\"https://zhuanlan.zhihu.com/c_1257815636945915904?page=3\" target=\"_blank\" rel=\"noreferrer\"> <img src=\"README.assets/WechatIMG688.png\" alt=\"linux\" width=\"50\" height=\"50\"/> </a> </p>\n\n\n## `7` [Citation](https://doi.org/10.1038/s41467-024-50194-3)\n\nIf you use `omicverse` in your work, please cite the `omicverse` publication as follows:\n\n> **OmicVerse: a framework for bridging and deepening insights across bulk and single-cell sequencing**\n>\n> Zeng, Z., Ma, Y., Hu, L. et al.\n>\n> _Nature Communication_ 2024 Jul 16. doi: [10.1038/s41467-024-50194-3](https://doi.org/10.1038/s41467-024-50194-3).\n\n\n## `8` [Other](#)\n\nIf you would like to sponsor the development of our project, you can go to the afdian website (https://afdian.net/a/starlitnightly) and sponsor us.\n\n\nCopyright \u00a9 2024 [112 Lab](https://112lab.asia/). <br />\nThis project is [GPL3.0](./LICENSE) licensed.\n\n<!-- LINK GROUP -->\n[docs-feat-provider]: https://starlitnightly.github.io/omicverse/\n\n",
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