Flexible Interactive Visualization of Pangenome Data for Crop Breeding R&D

January 12, 2026

Recent technological advancements have lowered barriers for generating large numbers of sequenced genome assemblies and pangenomes to study genomic diversity. By utilizing pangenomes for comparative genomic analysis, crop scientists can avoid ascertainment bias and gain additional insights compared to reference based methods. This approach enables the identification of sequence variants, particularly the structural variants for association mapping, marker discovery, and the selection of genome editing applications. Managing large datasets and analyzing syntenic relationships can be challenging. Researchers involved in trait breeding projects need adaptable tools for easy visualization of these relationships.
Genedata Selector^® is an enterprise software supporting crop breeding initiatives that leverage next-generation sequencing (NGS) and other omics data. Equipped with data analytics, it enables identification of phenotypes through comparative genomics across sequence, mutation, protein function, regulation, and pathway activity.