Single Cell Transcriptomics [E-Book] : Methods and Protocols / edited by Raffaele A. Calogero, Vladimir Benes.
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-mo...
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Full text |
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Personal Name(s): | Benes, Vladimir, editor |
Calogero, Raffaele A., editor | |
Edition: |
1st edition 2023. |
Imprint: |
New York, NY :
Humana Press,
2023
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Physical Description: |
XI, 390 pages 126 illustrations, 121 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9781071627563 |
DOI: |
10.1007/978-1-0716-2756-3 |
Series Title: |
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Methods in Molecular Biology ;
2584 |
Subject (LOC): |
- 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 massively-parallel single-cell RNA-seq
- 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 Sorting
- 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 To 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.