Genedata Boosts Crop Resistance Research and Pangenome-Based Smart Breeding

New software release enhances sequencing data analysis to streamline comparative genomics at agricultural science organizations

August 18, 2025
Basel, Switzerland

Genedata, a Danaher company and the leading provider of enterprise software solutions for life science R&D, today announced a new release of Genedata Selector^®. This end-to-end solution enables agricultural organizations to leverage next-generation sequencing (NGS) for innovative seed development, accelerating the delivery of more sustainable, high-performing crops to market. The newest version of Genedata Selector enhances assay data analysis and interpretation throughout the crop improvement process, enabling researchers to rapidly understand syntenic relationships across genomes. 

For molecular breeding applications, analyzing genotype-phenotype relationships with NGS can help uncover complex traits across large numbers of crop genomes. To successfully identify the most promising candidates, companies need advanced data management, integration, and analysis capabilities to scale these processes while optimizing time and resources. Developed in close collaboration with industry-leading partners, Genedata Selector supports cross-omics data processing and analysis, enabling comparative genomics across sequence, mutation, protein function, regulation, and pathway activity in plants, microbes, and microbiomes. 

The latest software release streamlines and automates sequencing and omics data workflows for crop improvement and molecular breeding. New data management and visualization capabilities make it easier to efficiently compare pangenome data across genome assemblies. By selecting and transferring DNA and protein sequences from multiple assemblies and aligning them locally, scientists can more effectively analyze genotype variation to guide informed plant breeding decisions.

Enhanced APIs in the new version of Genedata Selector enable flexible integration with external systems, including LIMS, ELNs, laboratory hardware, compute environments, and secure file storage, ensuring efficient data transfer while preserving data integrity. These new automation capabilities streamline routine workflows, allowing scientists to focus on data interpretation and experimental planning, ultimately accelerating research and development efforts.

“Data-driven agriculture has the power to transform how we feed the world,” said Othmar Pfannes, Ph.D., President of Genedata. “With our latest release, we enable innovative agricultural science companies to accelerate the identification of favorable phenotypes through comparative genomics. This advancement takes NGS data analysis a step further, unlocking deeper insights and revealing trends that will guide the next generation of crop improvement initiatives.