Analytical Workflows for Single‐Cell Multiomic Data Using the BD Rhapsody Platform
Wenyan Li, Sajad Razavi Bazaz, Chelsea Mayoh, Robert Salomon- Medical Laboratory Technology
- Health Informatics
- General Pharmacology, Toxicology and Pharmaceutics
- General Immunology and Microbiology
- General Biochemistry, Genetics and Molecular Biology
- General Neuroscience
Abstract
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