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CytoGEDEVO-global alignment of biological networks with Cytoscape

机译:CytoGEDEVO-生物网络与Cytoscape的全局比对

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Motivation: In the systems biology era, high-throughput onnics technologies have enabled the unraveling of the interplay of some biological entities on a large scale (e.g. genes, proteins, metabolites or RNAs). Huge biological networks have emerged, where nodes correspond to these entities and edges between them model their relations. Protein protein interaction networks, for instance, show the physical interactions of proteins in an organism. The comparison of such networks promises additional insights into protein and cell function as well as knowledge -transfer across species. Several computational approaches have been developed previously to solve the network alignment (NA) problem, but only a few concentrate on the usability of the implemented tools for the evaluation of protein protein interactions by the end users (biologists and medical researchers).
机译:动机:在系统生物学时代,高通量的离子技术已使大规模揭示某些生物实体(例如基因,蛋白质,代谢产物或RNA)之间的相互作用成为可能。已经出现了巨大的生物网络,其中节点对应于这些实体,并且它们之间的边为它们的关系建模。蛋白质蛋白质相互作用网络,例如,显示了生物体内蛋白质的物理相互作用。此类网络的比较有望提供对蛋白质和细胞功能以及跨物种知识转移的更多见解。先前已经开发出了几种计算方法来解决网络对齐(NA)问题,但是只有少数几种方法集中在已实现工具对最终用户(生物学家和医学研究人员)评估蛋白质相互作用的工具的可用性上。

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