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Related Experiment Video

Updated: Feb 11, 2026

Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP

Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP

Published on: April 20, 2015

IncGraph: Incremental graphlet counting for topology optimisation.

Robrecht Cannoodt^1,2,3, Joeri Ruyssinck⁴, Jan Ramon⁵

¹Data Mining and Modelling for Biomedicine group, VIB Center for Inflammation Research, Ghent, Belgium.

|April 27, 2018

Summary

This summary is machine-generated.

IncGraph efficiently calculates changes in graphlet counts for network topology optimization. This method significantly speeds up analysis, enabling new research into evolving networks and graphlet-based optimization criteria.

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Area of Science:

Network science
Computational biology
Systems biology

Background:

Graphlets are fundamental network patterns used to characterize topology.
Topology optimization often relies on graphlet counts to achieve desired network properties.
Recalculating graphlet counts for every minor network change is computationally intractable for optimization.

Purpose of the Study:

To develop an efficient method for calculating incremental changes in graphlet counts.
To enable the use of graphlet-based metrics for network topology optimization.
To facilitate the study of evolving or online networks using graphlet analysis.

Main Methods:

Introduced IncGraph, a novel method for incremental graphlet counting.
Implemented IncGraph as an open-source R package.

Main Results:

IncGraph reduces execution time by several orders of magnitude compared to static counting.
Demonstrated the utility of IncGraph for optimizing gene regulatory networks.
IncGraph enables rapid quantification of topological impacts from small network modifications.

Conclusions:

IncGraph overcomes the computational limitations of traditional graphlet counting for topology optimization.
This method opens new avenues for research in dynamic network analysis and optimization.
IncGraph is available as an open-source R package for broader accessibility.