This volume provides up-to-date methods on single cell wet and bioinformatics prools 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-modal data integration, and single cell RNA editing. Written in the highly successful
Methods in Molecular Biology
series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory prools, and tips on troubleshooting and avoiding known pitfalls.
Cutting-edge and comprehensive,
Single Cell Transcriptomics: Methods and Prools
aims to be a valuable resource for all researchers interested in learning more about this important and developing field.