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The goal of this book is to teach newcomers and advanced professionals alike, the best practices of single-cell sequencing analysis. This book will teach you the most common analysis steps ranging from preprocessing to visualization to statistical evaluation and beyond.
31 de mar. de 2023 · Our article serves as an entry point for novices in the field of single-cell (multi-)omic analysis and guides advanced users to the most recent best practices.
A book on the current best practices for single-cell analysis across modalities with extensive tutorials and code examples. Learn from the expert recommendation in Nature Reviews Genetics and contribute to the open source project on GitHub.
Abstract. Recent advances in single-cell technologies have enabled high-throughput molecular profiling of cells across modalities and locations. Single-cell transcriptomics data can now be complemented by chromatin accessibility, surface protein expression, adaptive immune receptor repertoire profiling and spatial information.
19 de jun. de 2019 · Here, we detail the steps of a typical single‐cell RNA ‐seq analysis, including pre‐processing (quality control, normalization, data correction, feature selection, and dimensionality reduction) and cell‐ and gene‐level downstream analysis. We formulate current best‐practice recommendations for these steps based on independent comparison studies.
For an up-to-date version of the latest best practices for single-cell RNA-seq analysis (and more modalities) please see our consistently updated online book: https://www.sc-best-practices.org. For more information and contribution guidelines please visit the associated Github repository: https://github.com/theislab/single-cell-best-practices.
7 de dic. de 2020 · Nature Protocols - In this Tutorial Review, Hemberg et al. present an overview of the computational workflow involved in processing single-cell RNA sequencing data.