J-GLOBAL ID:202010021431899475   Research Resource code:NBDC01917 Update date:Jul. 09, 2020

Soybean Knowledge Base (SoyKB): SoyKB

Soybean Knowledge Base (SoyKB): SoyKB
Owning Organization:
  • University of Missouri
Resource classification: Database
Tag (subject)  (6): Genome/Gene ,  Genetic variation ,  Epigenetics ,  RNA ,  Protein ,  Cell/Organelle
Tag (data type)  (5): Interaction/Pathway ,  Expression ,  Sequence ,  Phenotype ,  Method
Species (1): Glycine max (NCBI Taxonomy ID: 3847)
Soybean Knowledge Base (SoyKB), is a comprehensive all-inclusive web resource developed for soybean translational genomics and molecular breeding. SoyKB stores information about genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction (PI lines) and traits. It handles the management and integration of soybean genomics and multi-omics data along with gene function annotations, biological pathway and trait information. It has many useful tools including gene family search, multiple gene/metabolite analysis, motif analysis tool, protein 3D structure viewer and data download and upload capacity. It has a user-friendly web interface together with genome browser and pathway viewer, which displays data in an intuitive manner to the soybean researchers, breeders and consumers.
The QTLs, SNP, GWAS and traits information is seamlessly integrated in our newly developed suite of tools for the In Silico Breeding Program. It allows integration and extraction of the data in a tabular format as well as graphical visualization in our in-house Chromosome Visualizer. It also supports integration and visualization of Genotype by Sequencing (GBS) data for molecular breeding and phenotypic inferences. In addition, SoyKB now has capacity for incorporation of DNA methylation data and fast neutron mutation datasets. It is also linked seamlessly with P3DB for phosphorylation data. We have also incorporated suite of tools for differential expression analysis for microarray, transcriptomics RNA-seq, proteomics and metabolomics datasets. It includes access to gene lists, Venn diagrams, Volcano plots, functional annotations and pathway analysis. 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.
Source: FAIRsharing
Record maintainer: See the corresponding part in the FAIRsharing record
Record license: Creative Commons Attribution and Share-alike (CC-BY-SA) International 4.0 license

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