Your browser doesn't support javascript.
loading
Flynotyper 2.0: An updated tool for rapid quantitative assessment of Drosophila eye phenotypes.
Ray, Johnathan; Banerjee, Deepro; Wang, Qingyu; Girirajan, Santhosh.
Afiliación
  • Ray J; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA.
  • Banerjee D; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA.
  • Wang Q; Bioinformatics and Genomics Graduate Program, Huck Institutes of Life Sciences, Pennsylvania State University, University Park, PA.
  • Girirajan S; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA.
bioRxiv ; 2024 Aug 16.
Article en En | MEDLINE | ID: mdl-39185196
ABSTRACT
About two-thirds of the genes in the Drosophila melanogaster genome are also involved in its eye development, making the Drosophila eye an ideal system for genetic studies. We previously developed Flynotyper, a software that uses image processing operations to identify and quantify the degree of roughness by measuring disorderliness of ommatidial arrangement in the fly eye. This software has enabled researchers to quantify morphological defects of thousands of eye images caused by genetic perturbations. Here, we present Flynotyper 2.0, a software that has an updated computer vision library, improved performance, and a streamlined pipeline for high-throughput analysis of multiple eye images. We also tested several batches of Drosophila eye images to ensure robustness and reproducibility of the updated Flynotyper 2.0 software. Availability and implementation The source code for Flynotyper 2.0 can be downloaded and installed from https//github.com/girirajanlab/flynotyper-desktop-application.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Panamá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Panamá Pais de publicación: Estados Unidos