Step by Step Tutorial on Integrating scATAC-seq & scRNA-seq Multiome Datasets using Seurat 

This video dives into the exciting world of single-cell genomics, guiding you through the integration of single-cell ATAC-seq and single-cell RNA-seq multiome data.
We'll begin by exploring different integration pipelines and choosing a reliable one. Then, we'll jump right into the analysis!
Step-by-step, you'll learn how to:
* Load and pre-process single-cell RNA-seq and ATAC-seq datasets
* Perform basic analyses for both data types, including peak annotation and dimensionality reduction
* Visualize RNA-seq and ATAC-seq data side-by-side to identify potential relationships
* Integrate the datasets by finding anchors and transferring annotations between them
* Evaluate the accuracy of the integration and explore co-embedding for further analysis
We'll also cover how to save all the generated figures for your records.
This video is perfect for bioinformaticians and researchers looking to leverage the power of single-cell multiomics data.
By the end, you'll have a solid understanding of this powerful technique and be ready to unlock new insights into cellular regulation!
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