Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

Plant Breeding and Biotechnology

Plant Breeding and Biotechnology

Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.

Single Nucleotide Polymorphisms-SNPs

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Legume genome structures and histories inferred from Cercis canadensis and Chamaecrista fasciculata genomes.

The Plant journal : for cell and molecular biology·2026

Same author

Impact of United Kingdom guidelines for stratification of risk in adult hospital inpatients identified with sepsis - an observational cohort study.

BMC infectious diseases·2026

Same author

Impacts of gene duplication in the evolution of symbiotic root nodule symbiosis in legumes.

Frontiers in plant science·2026

Same author

Image-based high-throughput phenotyping enables genetic analyses of pod morphological traits in mungbean (Vigna radiata (L.) R. Wilczek).

G3 (Bethesda, Md.)·2026

Same author

Chromosome-level haplotype-resolved genome assemblies and annotations of Apios americana and Apios priceana.

Scientific data·2026

Same author

The SoyBase, LegumeInfo, and PeanutBase databases in support of legume research and crop improvement.

Genetics·2026

Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026

Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026

Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026

Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026

Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026

Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 17, 2026

Non-destructive SPE-UPLC-based Quantification of Aflatoxins and Stilbenoid Phytoalexins in Single Peanut (Arachis spp.) Seeds

Non-destructive SPE-UPLC-based Quantification of Aflatoxins and Stilbenoid Phytoalexins in Single Peanut (Arachis spp.) Seeds

Published on: April 19, 2024

SoyBase, the USDA-ARS soybean genetics and genomics database.

David Grant¹, Rex T Nelson, Steven B Cannon

¹USDA-ARS-CICGRU, Department of Agronomy, Iowa State University, Ames, IA 50011, USA. david.grant@ars.usda.gov

Nucleic Acids Research

|December 17, 2009

Summary

This summary is machine-generated.

SoyBase provides curated soybean genetics and genomics data, including trait and phenotype information. This comprehensive database facilitates research by integrating genetic maps, genomic sequences, and data mining tools for soybean (

More Related Videos

Standardized Method for High-throughput Sterilization of Arabidopsis Seeds

Standardized Method for High-throughput Sterilization of Arabidopsis Seeds

Published on: October 17, 2017

Soybean Hairy Root Transformation for the Analysis of Gene Function

Soybean Hairy Root Transformation for the Analysis of Gene Function

Published on: May 5, 2023

Related Experiment Videos

Last Updated: Jun 17, 2026

Non-destructive SPE-UPLC-based Quantification of Aflatoxins and Stilbenoid Phytoalexins in Single Peanut (Arachis spp.) Seeds

Non-destructive SPE-UPLC-based Quantification of Aflatoxins and Stilbenoid Phytoalexins in Single Peanut (Arachis spp.) Seeds

Published on: April 19, 2024

Standardized Method for High-throughput Sterilization of Arabidopsis Seeds

Standardized Method for High-throughput Sterilization of Arabidopsis Seeds

Published on: October 17, 2017

Soybean Hairy Root Transformation for the Analysis of Gene Function

Soybean Hairy Root Transformation for the Analysis of Gene Function

Published on: May 5, 2023

Area of Science:

Genetics
Genomics
Bioinformatics

Background:

SoyBase is a key resource for soybean genetics and genomics data.
It houses professionally curated information for soybean research.

Purpose of the Study:

To provide a comprehensive repository for soybean genetic and genomic data.
To integrate genetic maps, genomic sequences, and trait data for enhanced data mining.

Main Methods:

Curating and integrating genetic, physical, and genomic sequence maps.
Incorporating quantitative trait loci (QTL) data for over 90 traits.
Annotating the 'Williams 82' genomic sequence and developing data mining tools.

Main Results:

SoyBase offers integrated genetic and genomic views of soybean chromosomes.
The database links genetic and sequence data with extensive trait and phenotype information.
It provides controlled vocabularies for soybean traits linked to plant ontologies.

Conclusions:

SoyBase serves as a vital, interconnected resource for soybean research.
The database's structure allows flexible data access via various search parameters.
It supports advanced data mining and exploration of soybean genetic and phenotypic diversity.