| 项目编号 |
PRJCA040561 |
| 项目标题 |
A universal framework for RNA modification characterization and annotation using deep neural networks and nanopore direct RNA-sequencing |
| 涉及领域 |
Medical |
| 数据类型 |
Transcriptome or Gene expression
|
| 物种名称 |
Mus musculus
|
| 描述信息 |
We aim to profile transcriptome-wide RNA modifications using nanopore direct RNA sequencing. In this project, we developed a deep learning framework, ORCA, which enables unbiased detection and annotation of diverse RNA modification types. ORCA integrates domain adversarial learning and transfer learning to capture stoichiometry-driven signal patterns and accurately predict modification types with minimal prior knowledge. Using this method, we generated high-resolution RNA modification maps across multiple human cell lines. The data deposited here support epitranscriptomic research by providing isoform-resolved modification profiles. |
| 样品范围 |
Multiisolate |
| 发布日期 |
2025-06-13 |
| 项目资金来源 |
| 机构 |
项目类型 |
授权项目ID |
授权项目名称 |
| National Natural Science Foundation of China (NSFC)
|
|
32025009
|
|
|
|
| 提交者 |
Han
Dong (donghan@biols.ac.cn)
|
| 提交单位 |
Institute of Zoology, Chinese Academy of Sciences |
| 提交日期 |
2025-05-22 |
