ggCyto: next generation open-source visualization software for cytometry | Zendy

Phu T. Van | Zendy; Wenxin Jiang | Zendy; Raphaël Gottardo | Zendy; Greg Finak | Zendy

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ggCyto: next generation open-source visualization software for cytometry

Author(s) -

Phu T. Van,

Wenxin Jiang,

Raphaël Gottardo,

Greg Finak

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty441

Subject(s) - visualization , open source software , computer science , software , open source , software visualization , computer graphics (images) , data mining , operating system , software development , component based software engineering

Open source software for computational cytometry has gained in popularity over the past few years. Efforts such as FlowCAP, the Lyoplate and Euroflow projects have highlighted the importance of efforts to standardize both experimental and computational aspects of cytometry data analysis. The R/BioConductor platform hosts the largest collection of open source cytometry software covering all aspects of data analysis and providing infrastructure to represent and analyze cytometry data with all relevant experimental, gating and cell population annotations enabling fully reproducible data analysis. Data visualization frameworks to support this infrastructure have lagged behind.

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