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Collecting information about colorectal cancer (CRC) and visiting it in a centralized and reliable way can help CRC research, especially help researchers to understand the mechanisms that may help them understand the cellular mechanisms that contribute to tumor appearance, cancer progression, or even promote its prognosis. In this background, this study aims to collect available information about ncRNAs related tocolorectal cancer and provide it to the public for consultation. We implemented a PERCI data repository online (percidatabase.com) provides information on five CRC subtypes and three specific types of ncRNAs. The types of cancer include colorectal cancer, colon cancer, adenocarcinoma, tumor and hepatic colorectal cancer metastasis. The three types of ncRNAs involved in CRC are long ncRNAs (lncRNAs), long circular ncRNAs (circ ncR- NAs) and micrornas (mirnas), as well assome genomic characteristics. "Which lncRNAs are associated with adenocarcinoma?", "Given a specific circRNA, which cancer subtypes are involved in this circRNA?", or other questions can be answered by usingour database. This paper reviews the applications of machine learning (such as BERT) in optimization research, and puts forward some suggestions for the PERCI database. In the successful development of Perci database, we intend to continue to complete the cancer genome sequences, including clinical data of cancer patients. It also intends to include ceRNAs networks, which link lncRNAs, miRNAs and specific, cancer-linked proteins in the database for finding and proposing ceRNAs in silico, to be further proven in the laboratory. Further more, we propose to apply artificial intelligence (specifically Transformer-based machine learning method as BERT) into the workings of the database using MER so that it can find more efficient searches and faster, more agile database models.

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1	Jaqueline Coelho(jaq1997@hotmail.com)
2	Maria Emília Walter(mariaemilia@unb.br)
3	Li Weigang(weigangbr@gmail.com)
4	João Sousa(sousajb@unb.br)
5	Maristela Holanda(maristela.holanda@gmail.com)
6	Lucas Vieiras(lucas.maciel.vieira@gmail.com)

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