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SMISB: A system for Managing Minimum Information from omics' studies in systems biology

机译:SMISB:一种用于管理来自组学在系统生物学中的研究的最少信息的系统

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摘要

Because biological systems with high-throughput performance generate huge amount of experimental data, biologists need efficient methods to analyze large datasets. Specifically, researchers in systems biology require the ability to compare and integrate complex data from different omics' experiments. This requirement results in the standardization of formats for data representation and communication. These standards can be categorized into three parts: reporting, data exchange and modeling, and terminology. Even though these standards are very helpful for analyzing data in each omics' experiment, we need to integrate them into unified standardized format for studies of systems biology because most researchers in systems biology require cross-omics' studies. To satisfy these requirements, we developed the object model for SMISB (System of Managing Minimum Information in Systems Biology). This model accommodates reporting, exchange, and management of data from five different omics such as genomics, epigenomics, transcriptomics, proteomics, and metabolomics.
机译:由于具有高通量性能的生物系统会生成大量实验数据,因此生物学家需要有效的方法来分析大型数据集。具体来说,系统生物学的研究人员需要具有比较和整合来自不同组学实验的复杂数据的能力。该要求导致数据表示和通信格式的标准化。这些标准可以分为三个部分:报告,数据交换和建模以及术语。尽管这些标准对于分析每个组学实验中的数据非常有帮助,但我们仍需要将它们集成到统一的标准格式中,以进行系统生物学研究,因为大多数系统生物学研究人员都需要跨组学研究。为了满足这些要求,我们开发了SMISB(系统生物学中管理最少信息的系统)的对象模型。该模型可容纳来自五种不同组学的数据的报告,交换和管理,例如基因组学,表观基因组学,转录组学,蛋白质组学和代谢组学。

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