Document Detail


Using flowViz to visualize flow cytometry data.
MedLine Citation:
PMID:  18245128     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Automated analysis of flow cytometry (FCM) data is essential for it to become successful as a high throughput technology. We believe that the principles of Trellis graphics can be adapted to provide useful visualizations that can aid such automation. In this article, we describe the R/Bioconductor package flowViz that implements such visualizations. AVAILABILITY: flowViz is available as an R package from the Bioconductor project: http://bioconductor.org
Authors:
D Sarkar; N Le Meur; R Gentleman
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2008-02-01
Journal Detail:
Title:  Bioinformatics (Oxford, England)     Volume:  24     ISSN:  1367-4811     ISO Abbreviation:  Bioinformatics     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-03-14     Completed Date:  2008-04-07     Revised Date:  2009-11-04    
Medline Journal Info:
Nlm Unique ID:  9808944     Medline TA:  Bioinformatics     Country:  England    
Other Details:
Languages:  eng     Pagination:  878-9     Citation Subset:  IM    
Affiliation:
Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA. dsarkar@fhcrc.org
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computer Graphics*
Database Management Systems*
Databases, Factual*
Flow Cytometry / methods*
Software*
User-Computer Interface*
Grant Support
ID/Acronym/Agency:
1 R01 EB005034/EB/NIBIB NIH HHS; R01 EB005034-04/EB/NIBIB NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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