Visualização de redes gênicas a partir da integração de dados biológicos
The creation of huge amounts of data is called BigData. One of the problems that BigData brings is the extration of information from this massive database, so it is a challange to create a methodology capable of doing this task. On the context of BigData, a lot of biological databases are avaliable...
| Autor principal: | Rubino, Gabriel |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/7115 |
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| Resumo: |
The creation of huge amounts of data is called BigData. One of the problems that BigData brings is the extration of information from this massive database, so it is a challange to create a methodology capable of doing this task. On the context of BigData, a lot of biological databases are avaliable online. These databases let users interact, update and even correct its data. These and other actions make possible its access from external systems. Some biological databases are TAIR, GO and PO. These databases are dedicated to share functions of genes and its characteristics. One of this work’s goals is to integrate biological data in a way that is
possible to generate a gene network. To help the accomplishment of this goal some tools were used. The first one is Neo4j that is responsable for the data base’s management and its storage. Another tool used was JavaScript along with the library d3.js that was used to create the visual representation of the network. All the methods present in this project were tested to guarantee its reliability. To do this task information of genes from other papers were used. These informations were compared with the results from this project to check its consistency. As a result of this project a tool for visualization of a gene network and data integration was developed. This tool has a friendly interface with the possibility of selecting the type of biological data to generate the gene’s networks as well as biological’s functions with color identification. |
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