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scRNAseq/scRNAseq_analysis_tutorial/README.md

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@@ -26,7 +26,7 @@ All steps from QC to integration, clustering, and marker identification can be f
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- [Differential expression analysis - pseudobulk method with DESeq2](https://hbctraining.github.io/scRNA-seq/lessons/pseudobulk_DESeq2_scrnaseq.html)
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- Velocity analysis
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- [Using Seurat clusters](https://github.com/hbc/tutorials/blob/master/scRNAseq/scRNAseq_analysis_tutorial/lessons/velocity.md)
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- [Using scanpy]()
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- Using scanpy - follow [Scanpy tutorial] to generate clusters, then using scVelo should be the same as using Seurat clusters
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- Trajectory analysis: Slingshot
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- [Analysis/benchmarking Rmd report](https://github.com/hbc/hbc_scrnaseq_tseng_10x_brown_fat_mouse_hbc03764/blob/master/2019_09_tseng_multisample_analysis/analysis_reports/slingshot/tseng_slingshot_comprehensive_report.tar.gz)
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- [R script using Seurat clusters and UMAP dim reduction](https://github.com/hbc/hbc_scrnaseq_tseng_10x_brown_fat_mouse_hbc03764/blob/master/2019_09_tseng_multisample_analysis/analysis_reports/slingshot/VSM_only_slingshot_to_adipo24_UMAP.R)

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