ChromoViz: multimodal visualization of gene expression data onto chromosomes using scalable vector graphics | Zendy

Jihoon Kim | Zendy; Hee-Joon Chung | Zendy; Chan Hee Park | Zendy; WoongYang Park | Zendy; Ju Han Kim | Zendy

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ChromoViz: multimodal visualization of gene expression data onto chromosomes using scalable vector graphics

Author(s) -

Jihoon Kim,

Hee-Joon Chung,

Chan Hee Park,

WoongYang Park,

Ju Han Kim

Publication year - 2004

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/bth052

Subject(s) - visualization , computer science , graphics , scalability , scalable vector graphics , computer graphics , computational biology , computer graphics (images) , data mining , biology , world wide web , database

ChromoViz is an R package for the visualization of microarray gene expression data, cross-species and cross-platform comparisons, as well as non-expression genomic data obtained from public databases onto chromosomes. Chromosomal visualization format is proposed for the clear decoupling of the data layer from the procedure layer and the combined visualization of genomic data from heterogeneous data sources. Visualization with Javascript-enabled scalable vector graphics enables interactive visualization and navigation of data objects on the Web.

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