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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.

Original publication

DOI

10.1038/s41592-019-0654-x

Type

Journal article

Journal

Nat Methods

Publication Date

02/2020

Volume

17

Pages

137 - 145

Keywords

Gene Expression Profiling, Genome, High-Throughput Nucleotide Sequencing, Single-Cell Analysis, Software