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- W2890634992 abstract "Cancer is driven by changes in the patterns of gene expressions due to the accumulation of mutations or epigenetic changes. One of the approaches used for detecting new oncogenes is the extraction of subgraphs with four vertices from a protein-protein interaction network containing the transcriptions of the genes expressions. Due to the large amount of subgraphs formed by this dense net- work of interaction, the processing of this information by using regular files and relational databases consumes dozens of hours in the search and classification of these subgraphs; whereas a graph database stores this information by using nodes and relationships, has a shorter data query time, and the increase in the information amount does not impact on the query time of this information. The purpose of this work is the improvement of available methods for search and detection of four vertex subgraphs, aiming for higher performance through the application of a graph database. The work proposes a strategy of specification and implementation for the data import and reproduction of the methods used in the detection of new oncogenes, exposing and comparing the obtained results. The results showed that there is a significant gain in the processing performance of these data when using a graph database in the detection of motifs." @default.
- W2890634992 created "2018-09-27" @default.
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- W2890634992 date "2018-05-16" @default.
- W2890634992 modified "2023-09-28" @default.
- W2890634992 title "Application of Graph Database in the Storage of Heterogeneous Omics Data for the Treatment in Bioinformatics" @default.
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- W2890634992 doi "https://doi.org/10.1145/3232059.3232068" @default.
- W2890634992 hasPublicationYear "2018" @default.
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