New York: Humana Press, 2022. — 394 p.
This volume provides up-to-date methods on single cell wet and bioinformatics protocols based on the researcher experiment requirements. Chapters detail basic analytical procedures, single-cell data QC, dimensionality reduction, clustering, cluster-specific features selection, RNA velocity, multi-modal data integration, and single cell RNA editing. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Cutting-edge and comprehensive, Single Cell Transcriptomics: Methods and Protocols aims to be a valuable resource for all researchers interested in learning more about this important and developing field.
Guidance on Processing the 10x Genomics Single Cell Gene Expression Assay
BD Rhapsody Single-Cell Analysis System Workflow: From Sample to Multimodal Single-Cell Sequencing Data
Profiling Transcriptional Heterogeneity with Seq-Well S3: A Low-Cost, Portable, High-Fidelity Platform for Massivel...
A MATQ-seq-Based Protocol for Single-Cell RNA-seq in Bacteria
Full-Length Single-Cell RNA-Sequencing with FLASH-seq
Plant Single-Cell/Nucleus RNA-seq Workflow
Ensuring Quality Cell Input for Single Cell Sequencing Experiments by Viability and Singlet Enrichment Using Cell S...
Tissue RNA Integrity in Visium Spatial Protocol (Fresh Frozen Samples)
Single-Cell RNAseq Data QC and Preprocessing
Single-Cell RNAseq Complexity Reduction
Functional-Feature-Based Data Reduction Using Sparsely Connected Autoencoders
Single-Cell RNAseq Clustering
Identifying Gene Markers Associated with Cell Subpopulations
A Guide to Trajectory Inference and RNA Velocity
Integration of scATAC-Seq with scRNA-Seq Data
Using ``Galaxy-rCASC´´: A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis
Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow
Profiling RNA Editing in Single Cells
Practical Considerations for Complex Tissue Dissociation for Single-Cell Transcriptomics