Abstract
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.
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