Details

Autor(en) / Beteiligte

• Amezquita, Robert A
• Lun, Aaron T L
• Becht, Etienne
• Carey, Vince J
• Carpp, Lindsay N
• Geistlinger, Ludwig
• Marini, Federico
• Rue-Albrecht, Kevin
• Risso, Davide
• Soneson, Charlotte
• Waldron, Levi
• Pagès, Hervé
• Smith, Mike L
• Huber, Wolfgang
• Morgan, Martin
• Gottardo, Raphael
• Hicks, Stephanie C

Titel

Orchestrating single-cell analysis with Bioconductor

Ist Teil von

• Nature methods, 2020-02, Vol.17 (2), p.137-145

Ort / Verlag

United States

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.