introduction
This year, the team SKLMT-China established a useful software tool based on our own wet lab results to help people easily search and predict a proper promoter for fine-tuning gene expression in the synthetic study. To make the Pseudomonas fluorescence a well-exploited chassis bacteria in synthetic biology, we develop a software DePro (promoter searching and strength prediction website based on deep learning and python), which enables our research results to interact well with other teams. With the expansion of the promoter data, it can quickly calculate the strength level of the new promoter with the help of our model. After entering the core sequence, our python program will calculate the strength level of the promoter for you. In some way, the softwareDePro is a collection of our wet lab results and achievements.
