COSMOS - spatially resolved multi-omics data Integration

COSMOS is a Python library for Spatialmoics data Integration offers a simple and effective tool.

Note

This project is under active development.

Contents

• Installation
• Tutorial 1: Simulated Spatially Resolved Paired Multi-Omics Data
• Tutorial 2: ATAC-RNA-Seq Mouse Brain RNA and ATAC Multi-Omics Data
• Tutorial 3: DBiT-Seq Mouse Embryo RNA and Protein Multi-Omics Data

News

2024.10.08 COSMOS based on python version 3.8.8, pandas version 1.5.2, and so on.

Introduction

COSMOS is a computational tool crafted to overcome the challenges associated with integrating spatially resolved multi-omics data. This software harnesses a graph neural network algorithm to deliver cutting-edge solutions for analyzing biological data that encompasses various omics types within a spatial framework. Key features of COSMOS include domain segmentation, effective visualization, and the creation of spatiotemporal maps. These capabilities empower researchers to gain a deeper understanding of the spatial and temporal dynamics within biological samples, distinguishing COSMOS from other tools that may only support single omics types or lack comprehensive spatial integration. The proven superior performance of COSMOS underscores its value as an essential resource in the realm of spatial omics.

Citation

Cooperative Integration of Spatially Resolved Multi-Omics Data with COSMOS, Zhou Y., X. Xiao, L. Dong, C. Tang, G. Xiao*, and L Xu*, 2024.