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Related Experiment Video

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A Simple Method for Isolation of Soybean Protoplasts and Application to Transient Gene Expression Analyses
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The Evolution of Soybean Knowledge Base (SoyKB).

Trupti Joshi1,2, Jiaojiao Wang3, Hongxin Zhang3

  • 1Department of Molecular Microbiology and Immunology, Medical Research Office School of Medicine, Informatics Institute, University of Missouri, 1201 E Rollins St., 271B LSC, Columbia, MO, 65201, USA. joshitr@missouri.edu.

Methods in Molecular Biology (Clifton, N.J.)
|December 18, 2016
PubMed
Summary
This summary is machine-generated.

Soybean Knowledge Base (SoyKB) offers integrated multi-omics data for soybean translational genomics and molecular breeding. This resource aids researchers and breeders by consolidating diverse genetic and trait information.

Keywords:
DatabaseGenomicsGlycine maxKnowledge baseMetabolomicsMulti-omicsProteomicsSoyKBSoybeanTranscriptomics

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Area of Science:

  • Genomics
  • Bioinformatics
  • Plant Science

Background:

  • Bridging the gap between soybean translational genomics and molecular breeding is crucial for crop improvement.
  • A centralized resource is needed to integrate diverse soybean data types.

Purpose of the Study:

  • To develop and present the Soybean Knowledge Base (SoyKB), a comprehensive web resource.
  • To facilitate data integration and analysis for soybean researchers and breeders.

Main Methods:

  • Development of a user-friendly web interface.
  • Integration of multi-omics datasets including genes/proteins, microRNAs (miRNAs)/small interfering RNAs (sRNA), metabolites, single nucleotide polymorphisms (SNPs), plant introduction lines, and traits.
  • Incorporation of informatics and analytical tools.

Main Results:

  • SoyKB provides access to six key entities: genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction lines, and traits.
  • The resource features an intuitive interface for easy data exploration and integration.
  • Multiple analytical tools are available for merging and analyzing multi-omics data.

Conclusions:

  • SoyKB serves as a valuable, all-inclusive web resource for the soybean research community.
  • The integrated data and tools in SoyKB support advancements in soybean translational genomics and molecular breeding.