Bipartite graphs in systems biology and medicine: a survey of methods and applications
Author(s) -
Georgios A. Pavlopoulos,
Panagiota I. Kontou,
Athanasia Pavlopoulou,
Costas Bouyioukos,
Evripides Markou,
Pantelis G. Bagos
Publication year - 2018
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giy014
Subject(s) - biological network , bipartite graph , computer science , systems biology , focus (optics) , field (mathematics) , theoretical computer science , data science , usability , computational biology , biology , graph , human–computer interaction , mathematics , physics , pure mathematics , optics
The latest advances in high-throughput techniques during the past decade allowed the systems biology field to expand significantly. Today, the focus of biologists has shifted from the study of individual biological components to the study of complex biological systems and their dynamics at a larger scale. Through the discovery of novel bioentity relationships, researchers reveal new information about biological functions and processes. Graphs are widely used to represent bioentities such as proteins, genes, small molecules, ligands, and others such as nodes and their connections as edges within a network. In this review, special focus is given to the usability of bipartite graphs and their impact on the field of network biology and medicine. Furthermore, their topological properties and how these can be applied to certain biological case studies are discussed. Finally, available methodologies and software are presented, and useful insights on how bipartite graphs can shape the path toward the solution of challenging biological problems are provided.
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