Analytical Workflows for Single-Cell Multiomic Data Using the BD Rhapsody Platform.
Wenyan LiSajad Razavi BazazChelsea MayohRobert SalomonPublished in: Current protocols (2024)
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.
Keyphrases
- single cell
- high throughput
- gene expression
- rna seq
- data analysis
- randomized controlled trial
- electronic health record
- flow cytometry
- big data
- quality control
- dna methylation
- induced apoptosis
- machine learning
- palliative care
- cell cycle arrest
- liquid chromatography
- air pollution
- deep learning
- artificial intelligence
- cell death
- electron microscopy