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Title: 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics

Journal Article · · PLoS Computational Biology (Online)
 [1];  [2]
  1. Stellenbosch Univ., Stellenbosch (South Africa); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
  2. Stellenbosch Univ., Stellenbosch (South Africa); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Herein we present and develop the theory of 3-way networks, a type of hypergraph in which each edge models relationships between triplets of objects as opposed to pairs of objects as done by standard network models. We explore approaches of how to prune these 3-way networks, illustrate their utility in comparative genomics and demonstrate how they find relationships which would be missed by standard 2-way network models using a phylogenomic dataset of 211 bacterial genomes.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC05-00OR22725; AC05-00OR22725
OSTI ID:
1260601
Journal Information:
PLoS Computational Biology (Online), Journal Name: PLoS Computational Biology (Online) Journal Issue: 3 Vol. 11; ISSN 1553-7358
Publisher:
Public Library of ScienceCopyright Statement
Country of Publication:
United States
Language:
English

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