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. 2016 May 1;32(9):1402-4.
doi: 10.1093/bioinformatics/btv718. Epub 2015 Dec 26.

rCGH: a comprehensive array-based genomic profile platform for precision medicine

Frederic Commo  1 , Justin Guinney  2 , Charles Ferté  1 , Brian Bot  2 , Celine Lefebvre  3 , Jean-Charles Soria  4 , Fabrice André  4
Affiliations

rCGH: a comprehensive array-based genomic profile platform for precision medicine

Frederic Commo et al. Bioinformatics. .

Abstract

We present rCGH, a comprehensive array-based comparative genomic hybridization analysis workflow, integrating computational improvements and functionalities specifically designed for precision medicine. rCGH supports the major microarray platforms, ensures a full traceability and facilitates profiles interpretation and decision-making through sharable interactive visualizations.

Availability and implementation: The rCGH R package is available on bioconductor (under Artistic-2.0). The aCGH-viewer is available at https://fredcommo.shinyapps.io/aCGH_viewer, and the application implementation is freely available for installation at https://github.com/fredcommo/aCGH_viewer

Contact: frederic.commo@gustaveroussy.fr

Supplementary information: Supplementary data are available at Bioinformatics online.

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Figures

Fig. 1
Fig. 1
. Interactive visualization. The genomic profile and the loss of heterozygosity profile (when available) are displayed on the CGH profile tab, while the gene values are accessible through the Genes table tab. The command panel (on left) can be used to display a gene of interest, to recenter the entire profile and to specify several decision parameters (gain/loss threshold, segment length). Gene values are updated automatically, and profiles and table can be re-exported after modification
See this image and copyright information in PMC

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