Cargando…
3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics
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 com...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376783/ https://www.ncbi.nlm.nih.gov/pubmed/25815802 http://dx.doi.org/10.1371/journal.pcbi.1004079 |
_version_ | 1782363785797828608 |
---|---|
author | Weighill, Deborah A Jacobson, Daniel A |
author_facet | Weighill, Deborah A Jacobson, Daniel A |
author_sort | Weighill, Deborah A |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4376783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43767832015-04-04 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics Weighill, Deborah A Jacobson, Daniel A PLoS Comput Biol Research Article 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. Public Library of Science 2015-03-27 /pmc/articles/PMC4376783/ /pubmed/25815802 http://dx.doi.org/10.1371/journal.pcbi.1004079 Text en © 2015 Weighill, Jacobson http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Weighill, Deborah A Jacobson, Daniel A 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics |
title | 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics |
title_full | 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics |
title_fullStr | 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics |
title_full_unstemmed | 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics |
title_short | 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics |
title_sort | 3-way networks: application of hypergraphs for modelling increased complexity in comparative genomics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376783/ https://www.ncbi.nlm.nih.gov/pubmed/25815802 http://dx.doi.org/10.1371/journal.pcbi.1004079 |
work_keys_str_mv | AT weighilldeboraha 3waynetworksapplicationofhypergraphsformodellingincreasedcomplexityincomparativegenomics AT jacobsondaniela 3waynetworksapplicationofhypergraphsformodellingincreasedcomplexityincomparativegenomics |