Glimma: interactive graphics for gene expression analysis | Zendy

Shian Su | Zendy; Charity W. Law | Zendy; Casey Ah-Cann | Zendy; Marie-Liesse Asselin-Labat | Zendy; Marnie E. Blewitt | Zendy; Matthew E. Ritchie | Zendy

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Glimma: interactive graphics for gene expression analysis

Author(s) -

Shian Su,

Charity W. Law,

Casey Ah-Cann,

Marie-Liesse Asselin-Labat,

Marnie E. Blewitt,

Matthew E. Ritchie

Publication year - 2017

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/btx094

Subject(s) - bioconductor , computer science , interactivity , r package , workflow , graphics , javascript , computer graphics , data mining , information retrieval , world wide web , computer graphics (images) , database , biology , gene , programming language , biochemistry

graphics for RNA-sequencing and microarray gene expression analyses may contain upwards of tens of thousands of points. Details about certain genes or samples of interest are easily obscured in such dense summary displays. Incorporating interactivity into summary plots would enable additional information to be displayed on demand and facilitate intuitive data exploration.

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