INFORMATION INFRASTRUCTURE FOR SUPPORTING BAIKAL MICROBIOME RESEARCH

Evgeny А. Cherkashin, Alexey О. Shigarov, Vasily V. Khristyuk

Matrosov Institute for System Dynamics and Control theory of Siberian Branch of Russian Academy of Sciences, Irkutsk Scientific Center of Siberian Branch of Russian Academy of Sciences, Vasily V. Khristyuk

A problem of construction of a research environment for Next Generation Sequencing data processing is considered. The environment comprises cloud data storage (DaaS) and computational services (SaaS and PaaS), as well as visualization, and data integration services. We are integrating existing open-source technologies to support MiSeq SOP (standard operational procedure), which is to allow domain specialists, biologists, to process data independently. For the realization of the integration, formal models of the SOP are constructed, automatically processed (transformed) into source code of new components. The technique of the transformation is based on Model Driven Architecture principles and logical inference of the derived models and the code. The current results are presented and discussed

next generation sequencing, big data, model driven architecture, linked open data, problem solving

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