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R-loopAtlas: An integrated R-loop resource from 254 plant species sustained by a deep-learning-based tool.
Li, Kuan; Wu, Zhenzhen; Zhou, Jincong; Xu, Wei; Li, Ling; Liu, Chao; Li, Wei; Zhang, Chengjun; Sun, Qianwen.
Affiliation
  • Li K; Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Center for Life Sciences, Beijing 100084, China.
  • Wu Z; Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Science, Kunming 650201, China.
  • Zhou J; Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Center for Life Sciences, Beijing 100084, China.
  • Xu W; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
  • Li L; Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Science, Kunming 650201, China.
  • Liu C; Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.
  • Li W; Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.
  • Zhang C; Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Science, Kunming 650201, China; Haiyan Engineering & Technology Center, Zhejiang Institute of Advanced Technology, Jiaxing 314022, China. Electronic address: zhangchengjun@mail.kib.ac.cn.
  • Sun Q; Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Center for Life Sciences, Beijing 100084, China. Electronic address: sunqianwen@mail.tsinghua.edu.cn.
Mol Plant ; 16(3): 493-496, 2023 03 06.
Article in En | MEDLINE | ID: mdl-36536599
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Language: En Journal: Mol Plant Journal subject: BIOLOGIA MOLECULAR / BOTANICA Year: 2023 Document type: Article Affiliation country: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Language: En Journal: Mol Plant Journal subject: BIOLOGIA MOLECULAR / BOTANICA Year: 2023 Document type: Article Affiliation country: China