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Analysis scripts for Chamberlin et al 2022/23

This repo includes the analysis used in the manuscript "Differences in molecular sampling and data processing explain variation among single-cell and single-nucleus RNA-seq experiments"

In this analysis we re-processed raw data from Yao et al 2021 and Thrupp et al 2020 to obtain UMI counts with and without introns.

Raw data were acquired from: Yao et al nuclei: https://data.nemoarchive.org/biccn/grant/u19_zeng/zeng/transcriptome/sncell/10x_v3/mouse/raw/MOp/

Yao et al cells: https://data.nemoarchive.org/biccn/grant/u19_zeng/zeng/transcriptome/scell/10x_v3/mouse/raw/MOp/

Thrupp et al: GEO accessions GSE153807 and GSE137444

final_bias_analysis.Rmd:

Includes main statistical analysis and plotting for the figures

preprocessing.Rmd:

Shows how STARsolo outputs were imported and collated

prep_QC.Rmd:

Confirms that STARsolo output matches the original CellRanger output from Yao et al.

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