| Literature DB >> 25168174 |
Anne Trinh, Inga H Rye, Vanessa Almendro, Aslaug Helland, Hege G Russnes, Florian Markowetz.
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/.Entities:
Mesh:
Year: 2014 PMID: 25168174 PMCID: PMC4167144 DOI: 10.1186/s13059-014-0442-y
Source DB: PubMed Journal: Genome Biol ISSN: 1474-7596 Impact factor: 13.583