Single Cell Transcriptomics: Methods and Protocols (2023)

1. Guidance on processing the 10x Genomics Single Cell Gene Expression Assay

Katharina Danielski

Jannes Ulbrich, Vadir Lopez-Salmeron, and Ian Gerrard

3. Profiling transcriptional heterogeneity with Seq-Well S³: A low-cost, portable, high-fidelity platform for massively-parallel single-cell RNA-seq

4. A MATQ-seq based protocol for single-cell RNA-seq in bacteria

Christina Homberger, Antoine-Emmanuel Saliba, and Jörg Vogel

5. Full-length single-cell RNA-sequencing with FLASH-seq

Vincent Hahaut and Simone Picelli

6. Plant single cell/nucleus RNA-seq workflow

Sandra Thibivilliers, Andrew Farmer, Susan Schroeder, and Marc Libault

7. Ensuring Quality Cell Input for Single Cell Sequencing Experiments by Viability and Singlet Enrichment using Cell Sorting

Malte Paulsen

8. Tissue RNA integrity in Visium Spatial Protocol (Fresh Frozen Samples)

Federica Antico, Marta Gai, and Maddalena Arigoni

9. Single cell RNAseq data QC and preprocessing

Martina Olivero and Raffaele A Calogero

Francesca Cordero and Raffaele A Calogero

^11. Functional-feature-based data reduction using sparsely connected autoencoders

12. Single cell RNAseq clustering

Marco Beccuti and Raffaele A Calogero

Maria Luisa Ratto and Luca Alessandri

14. A guide to trajectory inference and RNA velocity
Philipp Weiler, Koen Van den Berge, Kelly Street, and Simone Tiberi

15. Integration of scATAC-seq with scRNA-seq data

Ivan Berest and Andrea Tangherloni

16. Using "Galaxy-rCASC", a public Galaxy instance for single-cell RNA-Seq data analysis

17. Bringing cell subpopulation discovery on a cloud-HPC using rCASC and StreamFlow

Sandro G. Contaldo, Luca Alessandri, Iacopo Colonnelli, Marco Beccuti and Marco Aldinucci

18. Profiling RNA editing in single cells

Adriano Fonzino, Graziano Pesole, and Ernesto Picardi