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Here are the scRNAseq analysis codes for the paper entitled "Comparative single-cell transcriptomic profile of hybrid immunity induced by adenovirus vector-based COVID-19 vaccines".

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Description

This repertoire includes the analysis scripts for analyzing the scRNA-seq with matched scBCR-seq data which was used in the paper: "Comparative single-cell transcriptomic profile of hybrid immunity induced by adenovirus vector-based COVID-19 vaccines"

Input data

The scRNA-seq matrix and scBCR-seq data from Cellranger can be accessed in Zenodo (10.5281/zenodo.7904759) which was used for the following analysis.

Analysis steps and scripts

0.hastage.Rmd: the R script is used to preprocess the data from Cellranger, including, merge data, demultiplex of hashtag, QC, dimensionality reduction, evulation of batch effect, clustering, cell type annotation, etc.

1.Bcell.Rmd: the R script is used to analyze the B cells.

2.Tcell.Rmd: the R script is used to analyze the T cells.

3.statistic.Rmd: the R script is used for statistical analysis in the paper.

4.plot.Rmd: the R script plots some figures in the paper.

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Here are the scRNAseq analysis codes for the paper entitled "Comparative single-cell transcriptomic profile of hybrid immunity induced by adenovirus vector-based COVID-19 vaccines".

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