Single-Cell RNAseq Data QC and Preprocessing

Martina Olivero; Raffaele A Calogero

doi:10.1007/978-1-0716-2756-3_9

Single-Cell RNAseq Data QC and Preprocessing

Methods Mol Biol. 2023:2584:205-215. doi: 10.1007/978-1-0716-2756-3_9.

Authors

Martina Olivero^{1

2}, Raffaele A Calogero³

Affiliations

¹ Department of Oncology, University of Torino, Torino, Italy. martina.olivero@unito.it.
² Candiolo Cancer Institute-FPO, IRCCS, Candiolo, TO, Italy. martina.olivero@unito.it.
³ Molecular Biotechnology Center, University of Torino, Torino, Italy.

PMID: 36495451
DOI: 10.1007/978-1-0716-2756-3_9

Abstract

The first step in single-cell RNAseq data analysis is the evaluation of the overall quality of the cell transcriptome and the preparation of the single-cell transcription data for clustering. In this chapter, we describe one of the possible approaches to perform single-cell data preprocessing for 3' end single-cell RNAseq transcriptomics data.

Keywords: Data preprocessing; Quality control; Single-cell transcriptomics.

MeSH terms

Cluster Analysis
Gene Expression Profiling*
Sequence Analysis, RNA
Single-Cell Analysis
Single-Cell Gene Expression Analysis*
Transcriptome