Literature DB >> 14764551

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

Jihoon Kim1, Hee-Joon Chung, Chan Hee Park, Woong-Yang Park, Ju Han Kim.   

Abstract

SUMMARY: 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. AVAILABILITY: http://www.snubi.org/software/ChromoViz/

Mesh:

Year:  2004        PMID: 14764551     DOI: 10.1093/bioinformatics/bth052

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Information Visualization Techniques in Bioinformatics during the Postgenomic Era.

Authors:  Ying Tao; Yang Liu; Carol Friedman; Yves A Lussier
Journal:  Drug Discov Today Biosilico       Date:  2004-11

2.  TRAM (Transcriptome Mapper): database-driven creation and analysis of transcriptome maps from multiple sources.

Authors:  Luca Lenzi; Federica Facchin; Francesco Piva; Matteo Giulietti; Maria Chiara Pelleri; Flavia Frabetti; Lorenza Vitale; Raffaella Casadei; Silvia Canaider; Stefania Bortoluzzi; Alessandro Coppe; Gian Antonio Danieli; Giovanni Principato; Sergio Ferrari; Pierluigi Strippoli
Journal:  BMC Genomics       Date:  2011-02-18       Impact factor: 3.969

3.  Methods for visual mining of genomic and proteomic data atlases.

Authors:  John Boyle; Richard Kreisberg; Ryan Bressler; Sarah Killcoyne
Journal:  BMC Bioinformatics       Date:  2012-04-23       Impact factor: 3.169

4.  Integrated functional visualization of eukaryotic genomes.

Authors:  Rohit Ghai; Hannes Lindemann; Trinad Chakraborty
Journal:  BMC Bioinformatics       Date:  2006-07-18       Impact factor: 3.169

5.  Comparison of array-based comparative genomic hybridization with gene expression-based regional expression biases to identify genetic abnormalities in hepatocellular carcinoma.

Authors:  Kyle A Furge; Karl J Dykema; Coral Ho; Xin Chen
Journal:  BMC Genomics       Date:  2005-05-09       Impact factor: 3.969

  5 in total

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