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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

Manipulative Manual

Welcome come to EAT-Rice! In this page, we will teach users how to manipulate the prediction of activate genes in user interface of EAT-Rice, and the step as follows:


After the information is entered, the prediction results will be show up about wait one to two minutes. The results offer three parts of information as follows:



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