Background: Exploring various functional aspects of a biological cell system has been a focused research trend for last many decades. Biologists, scientists and researchers are continuously striving for unveiling the mysteries of these functional aspects to improve the health standards of life. For getting such understanding, astronomically growing, heterogeneous and geographically dispersed omics data needs to be critically analyzed. Currently, omics data is available in different types and formats through various data access interfaces. Applications which require offline and integrated data encounter a lot of data heterogeneity and global dispersion issues.

Objective: For facilitating especially such applications, heterogeneous data must be collected, integrated and warehoused in such a loosely coupled way so that each molecular entity can computationally be understood independently or in association with other entities within or across the various cellular aspects.

Methods: In this paper, we propose an omics data integration schema and its corresponding data warehouse system for integrating, warehousing and presenting heterogeneous and geographically dispersed omics entities according to the cellular functional aspects.

Results & Conclusion: Such aspect-oriented data integration, warehousing and data access interfacing through graphical search, web services and application programing interfaces make our proposed integrated data schema and warehouse system better and useful than other contemporary ones.

背景：在过去的几十年中，探索生物细胞系统的各个功能方面一直是研究的重点。生物学家，科学家和研究人员正在不断努力揭示这些功能方面的奥秘，以改善生活的健康水平。为了获得这种理解，需要严格分析天文数据增长，异构和地理位置分散的组学数据。当前，组学数据可通过各种数据访问界面以不同类型和格式获得。需要脱机和集成数据的应用程序会遇到很多数据异构性和全局分散性问题。

目的：为了特别方便此类应用，必须以松散耦合的方式收集，整合和存储异构数据，以便每个分子实体都可以在计算上独立地理解或与各个细胞内或跨细胞内的其他实体相关联地被理解。

方法：在本文中，我们提出了一个组学数据集成方案及其相应的数据仓库系统，用于根据蜂窝功能方面来集成，存储和呈现异构且地理位置分散的组学实体。

结果与结论：这种通过图形搜索，Web服务和应用程序编程接口进行的面向方面的数据集成，仓储和数据访问接口，使我们提出的集成数据模式和仓库系统比其他现代系统更好，更有用。