ASSBT Biennial Meeting – Feb. 24 – Feb 27, 2025 in Long Beach, CA
object(WP_Term)#4232 (11) { ["term_id"]=> int(161) ["name"]=> string(19) "Volume 60, Number 1" ["slug"]=> string(18) "volume-60-number-1" ["term_group"]=> int(0) ["term_taxonomy_id"]=> int(161) ["taxonomy"]=> string(5) "issue" ["description"]=> string(0) "" ["parent"]=> int(0) ["count"]=> int(137) ["filter"]=> string(3) "raw" ["term_order"]=> string(3) "145" }

BeetBase: A sugar beet toolbox for genetics, genomics, and germplasm research.

KUMAR, AVNEESH*¹, ANN FENWICK², AMY NIELSON² and KEVIN DORN²

¹Department of Agricultural Biology, Colorado State University, 1701 Centre Ave, Fort Collins, CO 80526 ²Soil Management and Sugarbeet Research, USDA-ARS, 1701 Centre Ave, Fort Collins, CO 80526

Abstract

BeetBase, the USDA-ARS web-based platform sugar beet database, provides germplasm characterization information including genotyping, phenotyping and whole genome sequencing datasets, genome assemblies, and annotations as well as providing powerful computational tools to efficiently utilize this genomic information. It is aimed to bring the usefulness of publicly available datasets by parsing data through established workflows and providing the dataset in an easy-to-use format. In version 2 of BeetBase, we add functionality and datasets to enable users to mine the genetic diversity of sugar beet and crop wild relatives. New tools include whole genome sequencing datasets, variant analysis data and tools, haplotype mining, synteny analysis between multiple reference genomes, and germplasm data mining. We envision these new BeetBase functionalities providing a platform for open data and data reuse, improving the visibility of ongoing research efforts.

 

Back to Issue