Biomolecular network exhibition analysis system and analysis method thereof

Abstract

The invention provides a biomolecular network exhibition analysis system which comprises an online analysis module, an offline analysis module, a network data structure module, a network assignment module, a network exhibition module, a network analysis module, a database, a document data interface, a temporary data table and a data output module. The invention can automatically establish and annotate the relevant biomolecular network based on internet resource connection through a biomolecular database based on attention protein and gene sets. The invention also provides an analysis method of the biomolecular network exhibition analysis system, which integrates the existing research annotation information in system biology and bioinformatics based on the biomolecular network characteristics, uses a free network as a base model, combines the biomolecular network characteristics and refines node and relation types.

Description

technical field [0001] The invention relates to the field of biomolecular network display analysis, in particular to a biomolecular network display analysis system and an analysis method thereof. Background technique [0002] Biological network is a system in which various molecules in organisms interact to complete various complex biological functions. Research at the network level helps to understand the internal mechanism of various complex events in organisms as a whole. Cellular gene transcription regulation network, metabolic network or signal transduction network are the most common biomolecular network systems. These networks are often composed of many different biomolecular "elements," the most important of which are genes and proteins. But for the "system", the key is not the components, but the relationship between the constituent elements, as well as the state characteristic information of the original components. From a biomolecular perspective, a relationshi...

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Problems solved by technology

However, in most cases, this kind of network is treated as a simple relational network with no direction and no weight, which is far from the biological reality of the protein interaction network.

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