| 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
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| Country/Region: | Korea, Republic of |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
NA
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| Keywords: |
| 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 |
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Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection. [PMID: 31337332]
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. |