Article

SASCRiP: A Python workflow for preprocessing UMI count-based scRNA-seq data

2022-02-15

Abstract excerpt

In order to reduce the impact of technical variation inherent in single-cell RNA sequencing (scRNA-seq) technologies on biological interpretation of experiments, rigorous preprocessing and quality control is required to transform raw sequencing reads into high-quality, gene and transcript counts. While hundreds of tools have been developed for this purpose, the vast majority of the most widely used tools are built...

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Literature Corpus work: 4eba9b1b-f9fa-5315-97d4-e3537b459740
DOI: 10.12688/f1000research.75243.1

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