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BioMed Central, Genome Biology, 8(15), 2014

DOI: 10.1186/s13059-014-0442-y

BioMed Central, Genome Biology, 8(15), p. 442

DOI: 10.1186/preaccept-1235790177128836

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GoIFISH: a system for the quantification of single cell heterogeneity from IFISH images

Journal article published in 2014 by Anne Trinh ORCID, Inga H. Rye, Vanessa Almendro, Åslaug Helland, Hege G. Russnes, Florian Markowetz
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract Molecular analysis has revealed extensive intra-tumor heterogeneity in human cancer samples, but cannot identify cell-to-cell variations within the tissue microenvironment. In contrast, in situ analysis can identify genetic aberrations in phenotypically defined cell subpopulations while preserving tissue-context specificity. GoIFISH GoIFISH is a widely applicable, user-friendly system tailored for the objective and semi-automated visualization, detection and quantification of genomic alterations and protein expression obtained from fluorescence in situ analysis. In a sample set of HER2-positive breast cancers GoIFISH GoIFISH is highly robust in visual analysis and its accuracy compares favorably to other leading image analysis methods. GoIFISH GoIFISH is freely available at www.sourceforge.net/projects/goifish/ .