Single Cell Transcriptomics

Chapter 1 Guidance on Processing the 10x Genomics Single Cell Gene Expression Assay

Chapter 2 BD Rhapsody™ Single-Cell Analysis System Workflow: From Sample to Multimodal Single-Cell Sequencing Data

Chapter 3 Profiling Transcriptional Heterogeneity with Seq-Well S3: A Low-Cost, Portable, High-Fidelity Platform for Massively Parallel Single-Cell RNA-Seq

Chapter 4 A MATQ-seq-Based Protocol for Single-Cell RNA-seq in Bacteria

Chapter 5 Full-Length Single-Cell RNA-Sequencing with FLASH-seq

Chapter 6 Plant Single-Cell/Nucleus RNA-seq Workflow

Chapter 7 Ensuring Quality Cell Input for Single Cell Sequencing Experiments by Viability and Singlet Enrichment Using Cell Sorting

Chapter 8 Tissue RNA Integrity in Visium Spatial Protocol (Fresh Frozen Samples)

Chapter 9 Single-Cell RNAseq Data QC and Preprocessing

Chapter 10 Single-Cell RNAseq Complexity Reduction

Chapter 11 Functional-Feature-Based Data Reduction Using Sparsely Connected Autoencoders

Chapter 12 Single-Cell RNAseq Clustering

Chapter 13 Identifying Gene Markers Associated with Cell Subpopulations

Chapter 14 A Guide to Trajectory Inference and RNA Velocity

Chapter 15 Integration of scATAC-Seq with scRNA-Seq Data

Chapter 16 Using “Galaxy-rCASC”: A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis

Chapter 17 Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow

Chapter 18 Profiling RNA Editing in Single Cells

Chapter 19 Practical Considerations for Complex Tissue Dissociation for Single-Cell Transcriptomics