Reseña del libro "Single Cell Transcriptomics: Methods and Protocols (en Inglés)"
1. Guidance on processing the 10x Genomics Single Cell Gene Expression Assay Katharina Danielski 2. BD Rhapsody(TM) Single-Cell Analysis System Workflow: From sample to multimodal single cell sequencing data 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 Riley S Drake, Martin Arreola Villanueva, Mike Vilme, Daniela D Russo, Andrew Navia, J. Christopher Love, and Alex K. Shalek 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 10. Single cell RNAseq complexity reduction Francesca Cordero and Raffaele A Calogero 11. Functional-feature-based data reduction using sparsely connected autoencoders Luca Alessandri and Raffaele A Calogero 12. Single cell RNAseq clustering Marco Beccuti and Raffaele A Calogero 13. Identifying Gene Markers Associated To Cell Subpopulations 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 Pietro Mandreoli, Luca Alessandri, Raffaele A. Calogero, Marco Antonio Tangaro, Federico Zambelli 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
