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Single Cell Transcriptomics

Overview of attention for book
Cover of 'Single Cell Transcriptomics'

Table of Contents

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    Book Overview
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    Chapter 1 Guidance on Processing the 10x Genomics Single Cell Gene Expression Assay
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    Chapter 2 BD Rhapsody™ Single-Cell Analysis System Workflow: From Sample to Multimodal Single-Cell Sequencing Data
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    Chapter 3 Profiling Transcriptional Heterogeneity with Seq-Well S3: A Low-Cost, Portable, High-Fidelity Platform for Massively Parallel Single-Cell RNA-Seq
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    Chapter 4 A MATQ-seq-Based Protocol for Single-Cell RNA-seq in Bacteria
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    Chapter 5 Full-Length Single-Cell RNA-Sequencing with FLASH-seq
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    Chapter 6 Plant Single-Cell/Nucleus RNA-seq Workflow
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    Chapter 7 Ensuring Quality Cell Input for Single Cell Sequencing Experiments by Viability and Singlet Enrichment Using Cell Sorting
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    Chapter 8 Tissue RNA Integrity in Visium Spatial Protocol (Fresh Frozen Samples)
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    Chapter 9 Single-Cell RNAseq Data QC and Preprocessing
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    Chapter 10 Single-Cell RNAseq Complexity Reduction
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    Chapter 11 Functional-Feature-Based Data Reduction Using Sparsely Connected Autoencoders
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    Chapter 12 Single-Cell RNAseq Clustering
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    Chapter 13 Identifying Gene Markers Associated with Cell Subpopulations
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    Chapter 14 A Guide to Trajectory Inference and RNA Velocity
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    Chapter 15 Integration of scATAC-Seq with scRNA-Seq Data
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    Chapter 16 Using “Galaxy-rCASC”: A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis
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    Chapter 17 Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow
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    Chapter 18 Profiling RNA Editing in Single Cells
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    Chapter 19 Practical Considerations for Complex Tissue Dissociation for Single-Cell Transcriptomics
Attention for Chapter 12: Single-Cell RNAseq Clustering
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