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Updated: Aug 19, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Global properties of biological networks
1Nestlé Research Center, BioAnalytical Science, CH-1000 Lausanne 26, Switzerland. martin.grigorov@rdls.nestle.com
Abstract:
This article discusses the most recent achievements in understanding the biological implications of the small-world and scale-free global topological properties of genetic, proteomic and metabolic networks. Most importantly, these networks are highly clustered and have small node-to-node distances. With their few very connected nodes, which are statistically unlikely to fail under random conditions, the proper functioning of these systems is maintained under external perturbations.
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