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mRNALocater: The database that can more accurately predict mRNA
mRNALocater: The database that can more accurately predict mRNA. The location of mRNA is an evolutionarily conserved phenomenon, which controls many important biological processes. The function of mRNA is closely related to its location in the cell.
The development of effective computational models to predict the subcellular localization of eukaryotic mRNA has become a hot topic, but the latest existing models still have some defects in terms of prediction accuracy and generalization ability.
So today, we recommends a database that can more accurately predict mRNA subcellular location: mRNALocater (http://bio-bigdata.cn/mRNALocater). We opened the official website according to the link as follows, the whole page is quite concise and clear.
The database is a comprehensive and advanced model for precise expression of eukaryotic mRNA subcellular location. Using algorithms such as XGBoost, LightGBM and CatBoost, three different machine learning models with relatively stable performance are constructed based on the optimal feature subset.
mRNALocater is an integration of these three models. For certain subcellular location predictions, its performance is better than the latest mRNALoc (an mRNA subcellular location prediction tool). Independent test data sets prove that mRNALocater is a comprehensive and advanced prediction tool.
The following figure shows the basic flow chart of the database.
After introducing the basic information of the database, the specific retrieval process will be quite simple. The following editor uses sample data to briefly describe the operation.
Click Services in the menu bar to enter the search page, as shown in the following figure: We paste the FASTA sequence of the target gene in the blank box or upload the FASTA format file of the target gene at Upload a File. Click Submit.
(Click the reset button to perform a new search)
After submission, the specific search results are shown in the following figure, displayed in table form. Of course, we can also click on the picture to switch the data presentation mode.
The result provides a total of five prediction scores for subcellular location, and the final exact location is subject to the highest score.
Click on the picture, we can also easily download the result data in different formats.
The use of the database is introduced here, the specific operation is very simple, that is, input, submit, and view the results.
(source:internet, reference only)