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Innovative computational tools provide new insights into the polyploid wheat genome

Crossref DOI link: https://doi.org/10.1007/s42994-023-00131-7

Published Print: 2024-03

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Chen, Yongming

Wang, Wenxi

Yang, Zhengzhao

Peng, Huiru

Ni, Zhongfu

Sun, Qixin

Guo, Weilong
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (32322059)

National Natural Science Foundation of China (32272124)

China Postdoctoral Science Foundation (2023M733807)

Frontiers Science Center for Molecular Design Breeding (2022TC152)

Pinduoduo-China Agricultural University Research Fund (PC2023B01016)

The 2115 Talent Development Program of China Agricultural University
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Text and Data Mining valid from 2024-03-01

Text and Data Mining valid from 2024-03-01

Version of Record valid from 2025-08-28
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This article is maintained by: Elsevier

Article Title: Innovative computational tools provide new insights into the polyploid wheat genome

Journal Title: aBIOTECH

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s42994-023-00131-7

Content Type: article

Copyright: Copyright © 2024 © 2024 THE AUTHORS. Published by Elsevier B.V. on behalf of Agricultural Information Institute of CAAS. Published by Elsevier B.V.