Bipartite graphs in systems biology and medicine: a survey of methods and applications
Abstract
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.
- Authors:
-
- Lawrence Berkeley Labs, DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
- University of Thessaly, Department of Computer Science and Biomedical Informatics, Papasiopoulou 2–4, Lamia, 35100, Greece
- Izmir International Biomedicine and Genome Institute (iBG-Izmir), Dokuz Eylül University, 35340, Turkey
- Université Paris Diderot, Sorbonne Paris Cité, Epigenetics and Cell Fate, UMR7216, CNRS, France
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Univ. of California, Oakland, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1432564
- Alternate Identifier(s):
- OSTI ID: 1543958
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- GigaScience
- Additional Journal Information:
- Journal Name: GigaScience Journal Volume: 7 Journal Issue: 4; Journal ID: ISSN 2047-217X
- Publisher:
- BioMed Central
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Life Sciences & Biomedicine - Other Topics; Science & Technology - Other Topics
Citation Formats
Pavlopoulos, Georgios A., Kontou, Panagiota I., Pavlopoulou, Athanasia, Bouyioukos, Costas, Markou, Evripides, and Bagos, Pantelis G. Bipartite graphs in systems biology and medicine: a survey of methods and applications. United Kingdom: N. p., 2018.
Web. doi:10.1093/gigascience/giy014.
Pavlopoulos, Georgios A., Kontou, Panagiota I., Pavlopoulou, Athanasia, Bouyioukos, Costas, Markou, Evripides, & Bagos, Pantelis G. Bipartite graphs in systems biology and medicine: a survey of methods and applications. United Kingdom. https://doi.org/10.1093/gigascience/giy014
Pavlopoulos, Georgios A., Kontou, Panagiota I., Pavlopoulou, Athanasia, Bouyioukos, Costas, Markou, Evripides, and Bagos, Pantelis G. Mon .
"Bipartite graphs in systems biology and medicine: a survey of methods and applications". United Kingdom. https://doi.org/10.1093/gigascience/giy014.
@article{osti_1432564,
title = {Bipartite graphs in systems biology and medicine: a survey of methods and applications},
author = {Pavlopoulos, Georgios A. and Kontou, Panagiota I. and Pavlopoulou, Athanasia and Bouyioukos, Costas and Markou, Evripides and Bagos, Pantelis G.},
abstractNote = {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.},
doi = {10.1093/gigascience/giy014},
journal = {GigaScience},
number = 4,
volume = 7,
place = {United Kingdom},
year = {Mon Feb 19 00:00:00 EST 2018},
month = {Mon Feb 19 00:00:00 EST 2018}
}
https://doi.org/10.1093/gigascience/giy014
Web of Science
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