RWRtoolkit

RWRtoolkit enables the efficient exploration of large and highly complex biological networks generated from custom experimental data and/or from publicly available datasets, and is species agnostic.

Key Features:

• Multiplex network generation: Generates multiplex networks from custom experimental data and/or publicly available datasets.
• Topological distance calculation: Finds topological distances between biological entities within networks.
• Relationship determination: Determines relationships within sets of interest and searches for topological context around sets of interest.
• Statistical evaluation: Statistically evaluates the strength of relationships within and between sets.
• High-throughput analysis: Supports parallelization on high-performance cluster systems for permutation testing.

Scientific Applications:

• Multi-omic network analysis: Analyzes large and highly complex biological networks across any species using multi-omic data.
• Topological context search: Identifies topological context around sets of biological entities of interest.
• Relationship strength assessment: Evaluates statistical significance of relationships within and between sets of biological entities.

Methodology:

RWRtoolkit uses random walks on multiplex networks.