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Two-dimensional visualization of multicolor FISH-generated data as a helpful tool for the analysis and understanding of cytogenetic and chromosomal alterations in melanocytic lesions


Kerl, Katrin; Leo, Schärer; Hesse, Raphael; Hesse, Benedikt; Gabriela, Palmedo; Requena, Luis; Wiesner, Thomas; Kutzner, Heinz (2013). Two-dimensional visualization of multicolor FISH-generated data as a helpful tool for the analysis and understanding of cytogenetic and chromosomal alterations in melanocytic lesions. American Journal of Dermatopathology, 35(2):151-158.

Abstract

For the evaluation of data generated by multicolor fluorescence in situ hybridization (FISH), we present here a synergistic approach that integrates the 3 most commonly used numerical algorithms in conjunction with 2 newly devised graphic tools for data visualization, namely "signal curves" and "rhombic heat maps." These two graphic tools provide information additional to the currently used numerical algorithms and thus facilitate the recognition and compensation of inherent errors that occur with the numerical method.

Abstract

For the evaluation of data generated by multicolor fluorescence in situ hybridization (FISH), we present here a synergistic approach that integrates the 3 most commonly used numerical algorithms in conjunction with 2 newly devised graphic tools for data visualization, namely "signal curves" and "rhombic heat maps." These two graphic tools provide information additional to the currently used numerical algorithms and thus facilitate the recognition and compensation of inherent errors that occur with the numerical method.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Dermatology Clinic
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2013
Deposited On:12 Feb 2014 15:09
Last Modified:16 Feb 2018 19:39
Publisher:Lippincott, Williams & Wilkins
ISSN:0193-1091
OA Status:Closed
Publisher DOI:https://doi.org/10.1097/DAD.0b013e318265fd08
PubMed ID:23542716

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