Title: iGenomicViewer: R package for visualisation of high dimension genomic data

Authors: Daniel P. Gaile, Lori A. Shepherd, Andrew E. Bruno, Song Liu, Carl D. Morrison, Lara E. Sucheston, Jeffrey C. Miecznikowski

Addresses: Department of Biostatistics, University at Buffalo, 3435 Main Street, Buffalo, NY 14214-3000, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14263, USA; Department of Biostatistics, Roswell Park Cancer Institute, Elm and Carlton, Buffalo, NY 14263, USA. ' Department of Biostatistics, University at Buffalo, 3435 Main Street, Buffalo, NY 14214-3000, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14263, USA; Department of Biostatistics, Roswell Park Cancer Institute, Elm and Carlton, Buffalo, NY 14263, USA. ' Center for Computational Research, University at Buffalo, Buffalo, NY 14263, USA. ' Department of Biostatistics, University at Buffalo, 3435 Main Street, Buffalo, NY 14214-3000, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14263, USA; Department of Biostatistics, Roswell Park Cancer Institute, Elm and Carlton, Buffalo, NY 14263, USA. ' Department of Pathology, Roswell Park Cancer Institute, Elm and Carlton, Buffalo, NY 14263, USA. ' Department of Biostatistics, University at Buffalo, 3435 Main Street, Buffalo, NY 14214-3000, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14263, USA; Department of Biostatistics, Roswell Park Cancer Institute, Elm and Carlton, Buffalo, NY 14263, USA. ' Department of Biostatistics, University at Buffalo, 3435 Main Street, Buffalo, NY 14214-3000, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14263, USA; Department of Biostatistics, Roswell Park Cancer Institute, Elm and Carlton, Buffalo, NY 14263, USA

Abstract: While the technologies for high dimensional data have been advancing, a lack of adequate visualisation tools to accommodate the results and inability to integrate multiple sources of data has emerged. The move towards multi-disciplinary work and collaborative research impresses the need for visualisation and analysis tools that are platform independent and customisable. iGenomicViewer through the use of customisable tool-tips that may include links and images, allows for a greater level of data integration for genomic data in a variety of formats. The iGenomicViewer is a freely available R software which allows users to generate interactive, platform-independent plots of genomic data.

Keywords: visualisation; data transfer; CGH; SNP; genomic data; heatmap; interactive; genomic plots; R applications; R package; bioconductors; bioinformatics; high dimensional data; data integration; single nucleotide polymorphisms; comparative genomic hybridization.

DOI: 10.1504/IJBRA.2010.038739

International Journal of Bioinformatics Research and Applications, 2010 Vol.6 No.6, pp.584 - 593

Published online: 24 Feb 2011 *

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