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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Related Experiment Video

Updated: Apr 4, 2026

Infinium Assay for Large-scale SNP Genotyping Applications
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NABIC SNP: an integrated database for SNP markers.

Chang-Kug Kim1, So-Youn Won1, Young-Joo Seol1

  • 1Genomics Division, National Academy of Agricultural Science (NAAS), Jeonju 54874, Korea.

Bioinformation
|September 5, 2015
PubMed
Summary
This summary is machine-generated.

The National Agricultural Biotechnology Information Center developed a database for 54,310 single nucleotide polymorphisms (SNPs) across seven species. This resource facilitates agricultural biotechnology research by providing accessible SNP data and analysis tools.

Keywords:
NABICNGSSNP databaseSNP marker searchmolecular marker

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Area of Science:

  • Agricultural Biotechnology
  • Genomics
  • Bioinformatics

Background:

  • High-throughput identification of genetic variations is crucial for crop and livestock improvement.
  • Single nucleotide polymorphisms (SNPs) are key genetic markers for understanding biodiversity and breeding.

Purpose of the Study:

  • To establish a centralized, web-based repository for agricultural single nucleotide polymorphism (SNP) data.
  • To enhance accessibility and usability of SNP information for researchers in agricultural biotechnology.

Main Methods:

  • Development of a comprehensive database by the National Agricultural Biotechnology Information Center (NABIC).
  • High-throughput data collection and curation of 54,310 identified SNPs.
  • Implementation of functional categories including SNP marker search, information viewer, and sequence download.

Main Results:

  • A web-based database containing 54,310 SNPs from seven species is now available.
  • The database features an SNP annotation table with detailed information (ownership, bio-entry, references, sequence data).
  • Functional modules enable efficient SNP marker searching, data viewing, and sequence retrieval.

Conclusions:

  • The NABIC SNP database serves as a valuable resource for agricultural biotechnology research.
  • Improved access to SNP data supports advancements in crop and animal breeding programs.
  • The database facilitates the utilization of genetic information for agricultural innovation.