Web-based visual analytics for plant genetic resources : development of integrated tools for barley genebank genomics

Abstract

Crop science holds rich genotypic and phenotypic resources that are often underused, as analysing large variant matrices and building bioinformatic pipelines hinder access. With genomic data expanding, the bottleneck has shifted from data generation to interpretation and uses such as genebank curation and pre-breeding. This work develops a software ecosystem that lowers the entry barrier through visual analytics-driven portals and reusable components for data from plant genetic resources. An interactive portal turns a federal ex situ genebank into a bio-digital resource center for barley, integrating over 22,000 accessions to enable exploratory analysis and visualization. A reusable web application visualizes large variant matrices with principal component analysis and variant statistics using standard file formats. A Python interface adds programmatic sequence similarity searches. These modular blocks improve discovery and sustainable use of plant genetic resources.