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Comprehensive Method for Soybean Cultivar Identification Using MGIseq, VCF2GENOME, and REST API

Authors
Park, Joo-SeokKang, Yang Jae
Issue Date
Oct-2026
Publisher
Humana Press Inc.
Keywords
Bioinformatics; Cultivar identification; Genomics; Glycine max; MGIseq; REST API; Soybean
Citation
Methods in Molecular Biology, v.2977, pp 29 - 47
Pages
19
Indexed
SCOPUS
Journal Title
Methods in Molecular Biology
Volume
2977
Start Page
29
End Page
47
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/80585
DOI
10.1007/978-1-0716-4820-9_3
ISSN
1064-3745
1940-6029
Abstract
This protocol provides a comprehensiveREST APIMGIseqCultivar identificationSoybean method for identifying soybeanSoybeans (Glycine max) cultivars using a combination of advanced genomic and bioinformatic techniques. The process begins with DNA extractionDNA extraction from soybeanSoybeans leaf tissue, followed by MGIseqMGIseq library construction and high-throughput sequencing. The resulting data undergoes rigorous quality control and preprocessing before being mapped to the soybeanSoybeans reference genome. Variant callingVariant calling is then performed to generate a Variant Call Format (VCF) file, which is subsequently analyzed using the web application, VCF2GENOME and the REST APIREST API. The API facilitates the comparison of the sample’s genetic profile with a curated database of known soybeanSoybeans cultivars, enabling accurate identification. This method is designed for researchers, breeders, and seed companies who require high-throughput, high-accuracy cultivar identificationCultivar identification for various applications in soybeanSoybeans genetics, breeding, and seed quality control.
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자연과학대학 (생명과학부)
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