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Orchestrating single-cell analysis with Bioconductor

Abstract:

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, stand...

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Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0002-3564-4813
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Publisher:
Springer Nature Publisher's website
Journal:
Nature Methods Journal website
Volume:
17
Pages:
137-145
Publication date:
2019-12-02
Acceptance date:
2019-10-14
DOI:
EISSN:
1548-7105
ISSN:
1548-7091
Pubs id:
pubs:990899
UUID:
uuid:561b9fc3-9410-43c3-89f3-304af2101745
Source identifiers:
990899
Local pid:
pubs:990899
Language:
English
Keywords:

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