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Orchestrating single-cell analysis with Bioconductor
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DOI：10.1038/s41592-019-0654-x.png)
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Abstract
En 中文
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.
Keywords:
RNA-SEQ DATA
DIFFERENTIAL EXPRESSION
GENE-EXPRESSION
SEQUENCING DATA
QUALITY-CONTROL
INFERENCE
VISUALIZATION
PACKAGE
GENOME
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