Orchestrating single-cell analysis with Bioconductor
Orchestrating single-cell analysis with Bioconductor
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DOI：
10.1038/s41592-019-0654-x
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发表时间：
2020-02-01
期刊：
影响因子：
48
通讯作者：
Hicks, Stephanie C.
中科院分区：
文献类型：
--
作者：
Amezquita, Robert A.;Lun, Aaron T. L.;Hicks, Stephanie C.
本透视图重点介绍了作为Bioconductor项目一部分发布的用于单细胞分析的开源软件，为用户和开发人员提供了概述。最近的技术进步使单个细胞中大量基因组范围的特征得以分析。然而，单细胞数据带来了独特的挑战，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，作为R包分发。以最先进的计算方法、标准化数据基础设施和交互式数据可视化工具为特色，我们为潜在用户提供了单细胞方法的概述和在线书籍。
This Perspective highlights open-source software for single-cell analysis released as part of the Bioconductor project, providing an overview for users and developers.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 () of single-cell methods for prospective users.