MTopGO: a tool for module identification in PPI Networks
Author and article information
Abstract
The increasing amount of -omics data leads to development of models to interpret and analyse them. A common approach consists in representing data as PPI Networks. These models can be very complex and informatics tools are needed to analyse them. In this abstract, we present MTopGO, an algorithm of module detection specific for PPI Network, exploiting both the network topological information and the Gene Ontology (GO) knowledge about network proteins. MTopGO output consists in a network partition, where each obtained cluster is labelled with a specific GO term describing its biological nature. In a single step, MTopGO performs a double PPI network analysis; from a topological perspective, through the individuation of a meaningful network partition and, from a biological perspective, through the selection of significant GO terms describing the biological role of network proteins.
Cite this as
2017. MTopGO: a tool for module identification in PPI Networks. PeerJ Preprints 5:e3229v1 https://doi.org/10.7287/peerj.preprints.3229v1Author comment
This is an abstract which has been accepted for the NETTAB 2017 Workshop
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Additional Information
Competing Interests
The authors declare that they have no competing interests.
Author Contributions
Danila Vella conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.
Simone Marini performed the experiments, contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.
Francesca Vitali wrote the paper, reviewed drafts of the paper.
Riccardo Bellazzi wrote the paper, reviewed drafts of the paper.
Data Deposition
The following information was supplied regarding data availability:
The code is not available because a paper presenting a more complete version of the algorithm is at the moment under revision by a scientific journal. However, code will be made available by authors for non non commercial purposes upon request.
Funding
The authors received no funding for this work.
