官方服务：
资源简介：
This is codes of a distance-weighted string kernel SVM that can be used for prediction of A-to-I RNA editing events
应用场景：
创建时间：
2016-09-14
相关数据集
Additional file 2 of Predicting RNA hyper-editing with a novel tool when unambiguous alignment is impossible
Supplementary tables. List of all editing predictions in FB4_DM, DNAREP1_DM and PROTOP along with sequences for the rdgA clones. (XLSX 1,065 kb)
Figshare2017-07-11 更新70
Predicted RNA editing sites and amino acid change.
Predicted RNA editing sites and amino acid change.
Figshare2017-06-16 更新20
Classification results for the three alignment-free models (GDA, DTM and ANN) in A-domains detection.
Classification results for the three alignment-free models (GDA, DTM and ANN) in A-domains detection.
Figshare2015-12-02 更新20
Table S1.xlsxPlantC2U: Convolutional neural network based deep learning of cross-species sequence landscapes predicts plastid C-to-U RNA editing in plants
Table S1. The detailed information of plastid RNA editing sites collected in REDIdb 3.0. Table S2. The summary of the chloroplast C-to-U RNA editing sites dataset. Table S3. The performance of PlantC2
Figshare2023-05-11 更新30
Table S6.xlsxPlantC2U: Convolutional neural network based deep learning of cross-species sequence landscapes predicts plastid C-to-U RNA editing in plants
Table S1. The detailed information of plastid RNA editing sites collected in REDIdb 3.0. Table S2. The summary of the chloroplast C-to-U RNA editing sites dataset. Table S3. The performance of Pla
NIAID Data Ecosystem20
