R-loopAtlas: An integrated R-loop resource from 254 plant species sustained by a deep-learningbased tool
文献类型：期刊论文
| 作者 | Li,Kuan; Wu,Zhenzhen; Zhou,Jincong; Xu,Wei ; Li,Ling; Liu,Chao; Li,Wei; Zhang,Chengjun; Sun,Qianwen
|
| 刊名 | MOLECULAR PLANT
 |
| 出版日期 | 2023 |
| 卷号 | 16期号:3页码:493-496 |
| ISSN号 | 1752-9867 |
| DOI | 10.1016/j.molp.2022.12.012 |
| 学科主题 | Biochemistry & Molecular Biology ; Plant Sciences |
| WOS记录号 | WOS:000957936400001 |
| 源URL | [http://ir.kib.ac.cn/handle/151853/75493]  |
| 专题 | 中国科学院昆明植物研究所 |
| 推荐引用方式 GB/T 7714 | Li,Kuan,Wu,Zhenzhen,Zhou,Jincong,et al. R-loopAtlas: An integrated R-loop resource from 254 plant species sustained by a deep-learningbased tool[J]. MOLECULAR PLANT,2023,16(3):493-496. |
| APA | Li,Kuan.,Wu,Zhenzhen.,Zhou,Jincong.,Xu,Wei.,Li,Ling.,...&Sun,Qianwen.(2023).R-loopAtlas: An integrated R-loop resource from 254 plant species sustained by a deep-learningbased tool.MOLECULAR PLANT,16(3),493-496. |
| MLA | Li,Kuan,et al."R-loopAtlas: An integrated R-loop resource from 254 plant species sustained by a deep-learningbased tool".MOLECULAR PLANT 16.3(2023):493-496. |
入库方式： OAI收割
来源：昆明植物研究所
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