PERSEUS: an interactive and intuitive web-based tool for pedigree visualization
View/Open
Publication date
2024-02-03ISSN
1367-4811
Abstract
Pedigree-based analyses’ prime role is to unravel relationships between individuals in breeding programs and germplasms. This is critical information for decoding the genetics underlying main inherited traits of relevance, and unlocking the genotypic variability of a species to carry out genomic selections and predictions. Despite the great interest, current lineage visualizations become quite limiting in terms of public display, exploration, and tracing of traits up to ancestral donors. PERSEUS is a user-friendly, intuitive, and interactive web-based tool for pedigree visualizations represented as directed graph networks distributed using a force-repulsion method. The visualizations do not only showcase
individual relationships among accessions, but also facilitate a seamless search and download of phenotypic traits along the pedigrees.
PERSEUS is a promising tool for breeders and scientists, advantageous for evolutionary, genealogy, and diversity analyses among related accessions and species.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
633 - Field crops and their production
Pages
6
Publisher
Oxford University Press
Is part of
Bioinformatics
Citation
Pradas, Nicole, Federico Jurado-Ruiz, Carles Onielfa, Pere Arús, and María José Aranzana. 2024. “PERSEUS: An Interactive and Intuitive Web-based Tool for Pedigree Visualization.” Bioinformatics, February. https://doi.org/10.1093/bioinformatics/btae060.
Grant agreement number
MC/Programa Estatal para impulsar la investigación científico-técnica y su transferencia/PID2021-128885OB-I00/ES/ /
MINECO/Programa Estatal de fomento de la investigación científica y técnica de excelencia/SEV-2015-0533/ES/ /
MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/CEX2019-000902-S/ES/ /
FEDER/ / /EU/ /
Program
Genòmica i Biotecnologia
This item appears in the following Collection(s)
- ARTICLES CIENTÍFICS [2555]
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/