Wildsoydb DataHub: A platform for accessing soybean multiomic datasets across multiple reference genomes

Journal article

Peer reviewed

Z. Xiao, Q. Wang, M-W Lin, M. Huang, Z. Wang, M. Xie, R.K. Varshney, H.T. Nguyen, T-F Chan and H-M Lam

Plant Physiology, Art. kiac419

2022

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Letter to the Editor

Title: Wildsoydb DataHub: A platform for accessing soybean multiomic datasets across multiple reference genomes
Authors/Creators: Z. Xiao (Author/Creator) - Chinese University of Hong Kong
Q. Wang (Author/Creator) - Chinese University of Hong Kong
M-W Lin (Author/Creator)
M. Huang (Author/Creator) - Chinese University of Hong Kong
Z. Wang (Author/Creator) - Chinese University of Hong Kong
M. Xie (Author/Creator) - Chinese University of Hong Kong
R.K. Varshney (Author/Creator) - Murdoch University
H.T. Nguyen (Author/Creator) - University of Missouri
T-F Chan (Author/Creator) - Chinese University of Hong Kong
H-M Lam (Author/Creator) - Chinese University of Hong Kong
Publication Details: Plant Physiology, Art. kiac419
Publisher: American Society of Plant Biologists
Identifiers: 991005542288807891
Copyright: © 2022 American Society of Plant Biologists .
Murdoch Affiliation: Centre for Crop and Food Innovation; State Agricultural Biotechnology Centre
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 3 Agriculture, Environment & Ecology; 3.4 Crop Science; 3.4.96 QTL
Web Of Science research areas: Plant Sciences
ESI research areas: Plant & Animal Science