Fact constellation 스키마와 트리 기반 XML 모델을 적용한 실험실 레벨의 단백질 데이터 통합 기법
An Approach for Integrated Modeling of Protein Data using a Fact Constellation Schema and a Tree based XML Model
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초록
유전자 및 단백질간의 복잡한 상호작용에 의해 기능이 결정되는 생명정보 데이터의 특성으로 인하여 생명정보 데이터 분석을 위해서는 이질적인 데이터를 통합적으로 분석할 수 있는 통합시스템이 요구된다. 따라서 이 논문에서는 생물학 실험실 레벨에서 단백질 구조 관련 데이터를 통합할 수 있도록 XML 모델기반에 웨어하우스 미디에이터 통합시스템을 제안한다. 제안 시스템은 fact constellation 모델을 기반하여 이질적인 소스에 대한 통합 모델링을 진행하고 통합 스키마를 XML 스키마로 변환하여 유지한다. 또한 통합 데이터베이스에 포함된 소스 데이터의 변경 및 출처에 대한 추적 관리를 위해 데이터의 점진적 갱신방법과 서열에 대한 버전관리를 이용한다. 실제로 이 시스템을 단백질 구조(PDB), 서열(Swiss-Prot)과 도메인 분류데이터(CATH) 통합에 적용한 통합 모델링 과정을 보여준다.
Abstract
With the explosion of bioinformatics data such proteins and genes, biologists need a integrated system to analyze and organize large datasets that interact with heterogeneous types of biological data. In this paper, we propose a integration system based on a mediated data warehouse architecture using a XML model in order to combine protein related data at biology laboratories. A fact constellation model in this system is used as a common model for integration and an integrated schema is translated to a XML schema. In addition, to track source changes and provenance of data in an integrated database employ incremental update and management of sequence version. This paper shows modeling of integration for protein structures, sequences and classification of structures using the proposed system.
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