{"product_id":"single-cell-transcriptomics-raffaele-a-calogero-9781071627556","title":"Single Cell Transcriptomics: Methods and Protocols","description":"\u003cp\u003e1. Guidance on processing the 10x Genomics Single Cell Gene Expression Assay \u003c\/p\u003e \u003cp\u003eKatharina Danielski\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e 2. BD Rhapsody(TM) Single-Cell Analysis System Workflow: From sample to multimodal single cell sequencing data\u003cp\u003e\u003c\/p\u003e \u003cp\u003eJannes Ulbrich, Vadir Lopez-Salmeron, and Ian Gerrard\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e3. Profiling transcriptional heterogeneity with Seq-Well S\u003csup\u003e3\u003c\/sup\u003e: A low-cost, portable, high-fidelity platform for massively-parallel single-cell RNA-seq\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e Riley S Drake, Martin Arreola Villanueva, Mike Vilme, Daniela D Russo, Andrew Navia, J. Christopher Love, and Alex K. Shalek\u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e4. A MATQ-seq based protocol for single-cell RNA-seq in bacteria\u003c\/p\u003e \u003cp\u003eChristina Homberger, Antoine-Emmanuel Saliba, and Jg Vogel\u003csup\u003e\u003c\/sup\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e5. Full-length single-cell RNA-sequencing with FLASH-seq\u003c\/p\u003e \u003cp\u003eVincent Hahaut and Simone Picelli\u003c\/p\u003e \u003cp\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/p\u003e \u003cp\u003e6. Plant single cell\/nucleus RNA-seq workflow\u003c\/p\u003e \u003cp\u003eSandra Thibivilliers, Andrew Farmer, Susan Schroeder, and Marc Libault\u003csup\u003e\u003c\/sup\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e7. Ensuring Quality Cell Input for Single Cell Sequencing Experiments by Viability and Singlet Enrichment using Cell Sorting\u003c\/p\u003e \u003cp\u003eMalte Paulsen\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e8. Tissue RNA integrity in Visium Spatial Protocol (Fresh Frozen Samples)\u003c\/p\u003e \u003cp\u003eFederica Antico, Marta Gai, and Maddalena Arigoni\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e9. Single cell RNAseq data QC and preprocessing\u003c\/p\u003e \u003cp\u003eMartina Olivero and Raffaele A Calogero\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e 10. Single cell RNAseq complexity reduction\u003cp\u003e\u003c\/p\u003e \u003cp\u003eFrancesca Cordero\u003csup\u003e \u003c\/sup\u003eand Raffaele A Calogero\u003c\/p\u003e \u003cp\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/p\u003e \u003cp\u003e\u003csup\u003e11. \u003c\/sup\u003eFunctional-feature-based data reduction using sparsely connected autoencoders\u003c\/p\u003e Luca Alessandri and Raffaele A Calogero\u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e12. Single cell RNAseq clustering\u003c\/p\u003e \u003cp\u003eMarco Beccuti and Raffaele A Calogero\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e 13. Identifying Gene Markers Associated To Cell Subpopulations\u003cp\u003e\u003c\/p\u003e \u003cp\u003eMaria Luisa Ratto and Luca Alessandri\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e14. A guide to trajectory inference and RNA velocity\u003cbr\u003e Philipp Weiler, Koen Van den Berge, Kelly Street, and Simone Tiberi\u003c\/p\u003e \u003cp\u003e15. Integration of scATAC-seq with scRNA-seq data \u003c\/p\u003e \u003cp\u003eIvan Berest and Andrea Tangherloni\u003csup\u003e\u003c\/sup\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e16. Using \"Galaxy-rCASC\", a public Galaxy instance for single-cell RNA-Seq data analysis \u003c\/p\u003e Pietro Mandreoli, Luca Alessandri, Raffaele A. Calogero, Marco Antonio Tangaro, Federico Zambelli\u003csup\u003e\u003c\/sup\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e17. Bringing cell subpopulation discovery on a cloud-HPC using rCASC and StreamFlow\u003c\/p\u003e \u003cp\u003eSandro G. Contaldo, Luca Alessandri, Iacopo Colonnelli, Marco Beccuti and Marco Aldinucci\u003c\/p\u003e \u003cp\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/p\u003e \u003cp\u003e18. Profiling RNA editing in single cells\u003c\/p\u003e \u003cp\u003eAdriano Fonzino, Graziano Pesole, and Ernesto Picardi\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Raffaele A. Calogero\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1071627554\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781071627556\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Humana\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/11\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 390\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.02lbs","brand":"Raffaele A. Calogero","offers":[{"title":"Hardcover","offer_id":44138554491135,"sku":"9781071627556","price":249.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_da3c5a99-2b35-4523-b090-1f2ce61cb4d5.jpg?v=1687900282","url":"https:\/\/www.whiterainbookhouse.com\/products\/single-cell-transcriptomics-raffaele-a-calogero-9781071627556","provider":"WR Book House","version":"1.0","type":"link"}