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Orchestrating high-throughput genomic analysis with Bioconductor
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scholarly article
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stated in
PubMed
review article
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stated in
Europe PubMed Central
title
Orchestrating high-throughput genomic analysis with Bioconductor
(English)
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PubMed
author
Laurent Gatto
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9
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Héctor Corrada Bravo
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Hector Corrada Bravo
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7
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Michael I Love
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Michael I Love
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16
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Simon Anders
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Simon Anders
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Sean Davis
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Sean Davis
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Kasper D. Hansen
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Kasper D Hansen
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Levi Waldron
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Levi Waldron
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Wolfgang Huber
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Wolfgang Huber
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Alejandro Reyes
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Alejandro Reyes
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Benilton Carvalho
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Benilton S Carvalho
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Gordon K Smyth
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Gordon K Smyth
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Robert Gentleman
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Robert Gentleman
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Raphael Gottardo
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Raphael Gottardo
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Rafael Irizarry
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Rafael A Irizarry
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Martin Morgan
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Martin Morgan
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Thomas Girke
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Thomas Girke
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Vincent J Carey
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Marc Carlson
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Florian Hahne
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Michael Lawrence
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15
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James MacDonald
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Valerie Obenchain
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Andrzej K Oleś
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Hervé Pagès
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Paul Shannon
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22
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Dan Tenenbaum
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24
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language of work or name
English
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PubMed
publication date
February 2015
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PubMed
published in
Nature Methods
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PubMed
volume
12
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PubMed
page(s)
115-21
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PubMed
issue
2
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PubMed
uses
Bioconductor
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reference URL
https://www.ncbi.nlm.nih.gov/pubmed/25633503
retrieved
26 April 2017
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OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis
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Credit for code
1 reference
stated in
PubMed
reference URL
https://pubmed.ncbi.nlm.nih.gov/25633503
retrieved
12 December 2020
based on heuristic
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Identifiers
DOI
10.1038/NMETH.3252
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
133468
Dimensions Publication ID
1050075164
0 references
OpenCitations bibliographic resource ID
133468
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
133468
PMCID
4509590
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
133468
PubMed ID
25633503
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
133468
ResearchGate publication ID
271592909
0 references
Springer Nature article ID
10.1038/nmeth.3252
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