RESUMO
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.
Assuntos
Análise de Célula Única/métodos , Perfilação da Expressão Gênica , Genoma , Sequenciamento de Nucleotídeos em Larga Escala , SoftwareRESUMO
An amendment to this paper has been published and can be accessed via a link at the top of the paper.