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


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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. GoIFISHGoIFISH 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 GoIFISHGoIFISH is highly robust in visual analysis and its accuracy compares favorably to other leading image analysis methods. GoIFISHGoIFISH is freely available at www.sourceforge.net/projects/goifish/.

Description

Journal Title

Genome Biol

Conference Name

Journal ISSN

1474-760X
1474-760X

Volume Title

15

Publisher

Springer Nature

Rights and licensing

Except where otherwised noted, this item's license is described as Attribution 2.0 UK: England & Wales
Sponsorship
Cancer Research UK (C14303/A17197)
Cancer Research UK (CB4320)
Cancer Research UK (19274)