Analytical Workflows for Single-Cell Multiomic Data Using the BD Rhapsody Platform.

Autor: Li W; Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Kensington, NSW, Australia.; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Kensington, NSW, Australia., Bazaz SR; Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Kensington, NSW, Australia.; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Kensington, NSW, Australia., Mayoh C; Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Kensington, NSW, Australia.; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Kensington, NSW, Australia., Salomon R; Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Kensington, NSW, Australia.; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Kensington, NSW, Australia.
Jazyk: angličtina
Zdroj: Current protocols [Curr Protoc] 2024 Feb; Vol. 4 (2), pp. e963.
DOI: 10.1002/cpz1.963
Abstrakt: The conversion of raw sequencing reads to biologically relevant data in high-throughput single-cell RNA sequencing experiments is a complex and involved process. Drawing meaning from thousands of individual cells to provide biological insight requires ensuring not only that the data are of the highest quality but also that the signal can be separated from noise. In this article, we describe a detailed analytical workflow, including six pipelines, that allows high-quality data analysis in single-cell multiomics. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Image analysis Basic Protocol 2: Sequencing quality control and generation of a gene expression matrix Basic Protocol 3: Gene expression matrix data pre-processing and analysis Basic Protocol 4: Advanced analysis Basic Protocol 5: Conversion to flow cytometry standard (FCS) format Basic Protocol 6: Visualization using graphical interfaces.
(© 2024 The Authors. Current Protocols published by Wiley Periodicals LLC.)
Databáze: MEDLINE
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