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EAT-Rice: Using machine learning approach to predicting the flanking genes expression activated by CaMV 35S enhancer in T-DNA insertion activation-tagged rice lines

Please input the job ID if you had done before

Input your JobID:


Please input the following information for system prediction

Input T-DNA insertion locus: 
Input T-DNA insertion site (bp): 

Input T-DNA insertion orientation (orientation of sequencing from RB): 

Input name of T-DNA mutant line: 
Input your windows size (A range for observing the effect by T-DNA insertion, and the appropriate value is less than 20 kb): 



Natural Computing & Bioinformatics Laboratory ( NCB Lab.), Institute of Genomics and Bioinformatics, National Chung Hsing University, Taiwan.
For questions and comments, please contact: ywchu@nchu.edu.tw.
Last update for website: Jan 30, 2019