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A computational method to quantitatively assess the morphological defects in the Drosophila eye resulting from genetic alterations affecting basic cellular and developmental processes. Flynotyper utilizes a series of image processing operations to automatically detect the fly eye and the individual ommatidium, and calculates a phenotypic score as a measure of the disorderliness of ommatidial arrangement in the fly eye.

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Flynotyper specifications

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  • Santhosh Girirajan <>


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Department of Biochemistry and Molecular Biology, The Pennsylvania State University, PA, USA; Bioinformatics and Genomics Program, The Huck Institutes of Life Sciences, The Pennsylvania State University, PA, USA; Department of Anthropology, The Pennsylvania State University, PA, USA; Biological Mechanisms of Ageing, Max-Planck Institute for Biology of Aging, Cologne, Germany; Department of Botany and Microbiology, Ohio Wesleyan University, DE, OH, USA; Department of Research for Parkinson’s Disease, Juntendo University Graduate School of Medicine, Tokyo, Japan; Translational Genetics Group, Department of Genetics, University of Valencia, Burjassot, Spain; Program of Rare Diseases, Incliva Health Research Institute, Valencia, Spain; Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Department of Neurology, Baylor College of Medicine, Houston, TX, USA; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; Department of Pathology, Stanford University, Palo Alto, CA, USA; Department of Biology, Indiana University, Bloomington, IN, USA

Funding source(s)

This work was supported by a Basil O’Connor Award from the March of Dimes Foundation (#5-FY14-66) and a NARSAD Young Investigator Grant from the Brain and Behavior Research Foundation.

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