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RESEARCH PRODUCT
An Integrative Framework for the Construction of Big Functional Networks
Salvatore MorfeaClaudia GiallombardoSimona E. Rombosubject
0301 basic medicinebiological networkBiological dataTheoretical computer scienceSettore INF/01 - InformaticaComputational complexity theoryComputer sciencebusiness.industryBig dataNoSQLcomputer.software_genreFunctional networks03 medical and health sciences030104 developmental biologyGraph (abstract data type)big data technologiesbig data technologiebusinesscomputerIntegrative approacheBiological networkdescription
We present a methodology for biological data integration, aiming at building and analysing large functional networks which model complex genotype-phenotype associations. A functional network is a graph where nodes represent cellular components (e.g., genes, proteins, mRNA, etc.) and edges represent associations among such molecules. Different types of components may cohesist in the same network, and associations may be related to physical[biochemical interactions or functional/phenotipic relationships. Due to both the large amount of involved information and the computational complexity typical of the problems in this domain, the proposed framework is based on big data technologies (Spark and NoSQL databases). (0)
year | journal | country | edition | language |
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2018-12-01 | 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |