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Database Commons

a catalog of worldwide biological databases

Database Profile

Soybean-VCF2Genomes

General information

URL: http://pgl.gnu.ac.kr/soy_vcf2genome
Full name: Soybean-VCF2Genomes
Description: Soybean-VCF2Genomes is a database for identification the closest accession in soybean germplasm collection.
Year founded: 2019
Last update:
Version:
Accessibility:
Accessible
Country/Region: Korea, Republic of

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Gyeongsang National University
Address: Division of Applied Life Science Department at Gyeongsang National University, PMBBRC, Jinju, Republic of Korea Division of Life Science Department at Gyeongsang National University, Jinju, Republic of Korea
City: Jinju
Province/State:
Country/Region: Korea, Republic of
Contact name (PI/Team): Yang Jae Kang
Contact email (PI/Helpdesk): kangyangjae@gnu.ac.kr

Publications

31337332
Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection. [PMID: 31337332]
Jungmin Ha, Ho Hwi Jeon, Dong U Woo, Yejin Lee, Halim Park, Joohyeong Lee, Yang Jae Kang

BACKGROUND: The development of next generation sequencer (NGS) and the analytical methods allowed the researchers to profile their samples more precisely and easier than before. Especially for agriculture, the certification of the genomic background of their plant materials would be important for the reliability of seed market and stable yield as well as for quarantine procedure. However, the analysis of NGS data is still difficult for non-computational researchers or breeders to verify their samples because majority of current softwares for NGS analysis require users to access unfamiliar Linux environment.
MAIN BODY: Here, we developed a web-application, "Soybean-VCF2Genomes", http://pgl.gnu.ac.kr/soy_vcf2genome/ to map single sample variant call format (VCF) file against known soybean germplasm collection for identification of the closest soybean accession. Based on principal component analysis (PCA), we simplified genotype matrix for lowering computational burden while maintaining accurate clustering. With our web-application, users can simply upload single sample VCF file created by more than 10x resequencing strategy to find the closest samples along with linkage dendrogram of the reference genotype matrix.
CONCLUSION: The information of the closest soybean cultivar will allow breeders to estimate relative germplasmic position of their query sample to determine soybean breeding strategies. Moreover, our VCF2Genomes scheme can be extended to other plant species where the whole genome sequences of core collection are publicly available.

BMC Bioinformatics. 2019:20(Suppl 13) | 2 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6428/6895 (6.788%)
Gene genome and annotation:
1909/2021 (5.591%)
6428
Total Rank
2
Citations
0.333
z-index

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Record metadata

Created on: 2019-10-21
Curated by:
Dong Zou [2020-01-06]
Amjad Ali [2019-11-13]
Ghulam Abbas [2019-10-21]