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


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Publication Date: 2014-08-26

Journal Title: Genome Biology

Publisher: BioMed Central

Volume: 15

Pages: 442

Language: en_US

Type: Article

Metadata: Show full item record

Citation: Trinh, A., Rye, I., Almendro, V., Helland, Å., Russnes, H., & Markowetz, F. (2014). GoIFISH: a system for the quantification of single cell heterogeneity from IFISH images. Genome Biology, 15 442.

Description: This is the final published version. It is also available from Genome Biology at http://genomebiology.com/2014/15/8/442.

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

Identifiers:

This record's URL: http://www.repository.cam.ac.uk/handle/1810/245902http://dx.doi.org/10.1186/s13059-014-0442-y

Rights: Attribution 2.0 UK: England & Wales

Licence URL: http://creativecommons.org/licenses/by/2.0/uk/





Autor: Trinh, AnneRye, IngaAlmendro, VanessaHelland, ÅslaugRussnes, HegeMarkowetz, Florian

Fuente: https://www.repository.cam.ac.uk/handle/1810/245902



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