Recent technological advancements have enabled the profiling of a large number of genome-wide features in individual cells. However, single-cell data present unique challenges that require the development of specialized methods and software infrastructure to successfully derive biological insights. The Bioconductor project has rapidly grown to meet these demands, hosting community-developed open-source software distributed as R packages. Featuring state-of-the-art computational methods, standardized data infrastructure and interactive data visualization tools, we present an overview and online book (https://osca.bioconductor.org) of single-cell methods for prospective users.

中文翻译：

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使用 Bioconductor 协调单细胞分析。

最近的技术进步使我们能够对单个细胞中的大量全基因组特征进行分析。然而，单细胞数据提出了独特的挑战，需要开发专门的方法和软件基础设施才能成功地获得生物学见解。Bioconductor 项目迅速发展以满足这些需求，托管社区开发的开源软件，以 R 包的形式分发。我们以最先进的计算方法、标准化的数据基础设施和交互式数据可视化工具为特色，为潜在用户提供了单细胞方法的概述和在线书籍 (https://osca.bioconductor.org)。