Aggregated network centrality shows non-random structure of genomic and proteomic networks.

doi:10.1016/j.ymeth.2019.11.006

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Article

Aggregated network centrality shows non-random structure of genomic and proteomic networks.

Methods (San Diego, Calif.) - 1 Oct 2020

Halder Anup Kumar, Denkiewicz Michał, Sengupta Kaustav, Basu Subhadip, Plewczynski Dariusz

Abstract excerpt

Network analysis is a powerful tool for modelling biological systems. We propose a new approach that integrates the genomic interaction data at population level with the proteomic interaction data. In our approach we use chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) data from human genome to construct a set of genomic interaction networks, considering the natural partitioning of chromatin...

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PMID: 31740366
DOI: 10.1016/j.ymeth.2019.11.006

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.