P993
Soybean Knowledge Base (SoyKB)

Date: Monday, January 13, 2014
Room: Grand Exhibit Hall
Trupti Joshi , University of Missouri, Columbia, MO
Shiyuan Chen , University of Missouri, Columbia, MO
Yang Liu , University of Missouri-Columbia, Columbia, MO
Hongxin Zhang , University of Missouri-Columbia, Columbia, MO
Gary Stacey , University of Missouri, Columbia, MO
Henry T. Nguyen , University of Missouri, Columbia, MO
Dong Xu , University of Missouri, Columbia, MO
Soybean Knowledge Base (http://soykb.org) is a comprehensive web resource developed for bridging soybean translational genomics and molecular breeding research. It provides information for six entities including genes/proteins, microRNAs/sRNAs, metabolites, single nucleotide polymorphisms, plant introduction lines and traits. It also incorporates many multi-omics datasets including transcriptomics, proteomics, metabolomics and molecular breeding data, such as quantitative trait loci, traits and germplasm information.

Soybean Knowledge Base has new suite of tools such as In Silico Breeding Program for soybean breeding, which includes a graphical chromosome visualizer for ease of navigation. It integrates quantitative trait loci, traits and germplasm information along with genomic variation data, such as single nucleotide polymorphisms, insertions, deletions and genome-wide association studies (GWAS) data, from multiple soybean cultivars and Glycine soja. SoyKB also has many new data analysis and visualization tools for RNA-seq and proteomics expression datasets including heatmaps, scatter plots and hierarchical clustering. It also provides new suite of tools for differential expression analysis of omics datasets. Various new types of data including DNA methylation, fast neutron mutations, phosphorylation, genotype by sequencing (GBS) data for molecular breeding and phenotypic inferences have also been incorporated.

SoyKB is now powered by the iPlant Cyber-Infrastructure. The website is hosted on the iPlant’s advanced computing infrastructure established to leverage the data analysis capabilities. The infrastructure is been utilized for bioinformatics analysis of 108 soybean germplasm lines next generation resequencing data. This GBS data is also incorporated into SoyKB and utilized for trait discovery and GWAS analysis.