Network Analyses in Systems Biology: New Strategies for Dealing with Biological Complexity

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Network Analyses in Systems Biology : New Strategies for Dealing with Biological Complexity. / Green, Sara; Serban, Maria; Scholl, Raphael ; Jones, Nicholaos; Brigandt, Ingo ; Bechtel, William.

In: Synthese, Vol. 195, No. 4, 01.04.2018, p. 1751–1777.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Green, S, Serban, M, Scholl, R, Jones, N, Brigandt, I & Bechtel, W 2018, 'Network Analyses in Systems Biology: New Strategies for Dealing with Biological Complexity', Synthese, vol. 195, no. 4, pp. 1751–1777. https://doi.org/10.1007/s11229-016-1307-6

APA

Green, S., Serban, M., Scholl, R., Jones, N., Brigandt, I., & Bechtel, W. (2018). Network Analyses in Systems Biology: New Strategies for Dealing with Biological Complexity. Synthese, 195(4), 1751–1777. https://doi.org/10.1007/s11229-016-1307-6

Vancouver

Green S, Serban M, Scholl R, Jones N, Brigandt I, Bechtel W. Network Analyses in Systems Biology: New Strategies for Dealing with Biological Complexity. Synthese. 2018 Apr 1;195(4):1751–1777. https://doi.org/10.1007/s11229-016-1307-6

Author

Green, Sara ; Serban, Maria ; Scholl, Raphael ; Jones, Nicholaos ; Brigandt, Ingo ; Bechtel, William. / Network Analyses in Systems Biology : New Strategies for Dealing with Biological Complexity. In: Synthese. 2018 ; Vol. 195, No. 4. pp. 1751–1777.

Bibtex

@article{98365e638d1d46319ea1624eeb54fc88,
title = "Network Analyses in Systems Biology: New Strategies for Dealing with Biological Complexity",
abstract = "The increasing application of network models to interpret biological systems raises a number of important methodological and epistemological questions. What novel insights can network analysis provide in biology? Are network approaches an extension of or in conflict with mechanistic research strategies? When and how can network and mechanistic approaches interact in productive ways? In this paper we address these questions by focusing on how biological networks are represented and analyzed in a diverse class of case studies. Our examples span from the investigation of organizational properties of biological networks using tools from graph theory to the application of dynamical systems theory to understand the behavior of complex biological systems. We show how network approaches support and extend traditional mechanistic strategies but also offer novel strategies for dealing with biological complexity.",
keywords = "Biological networks, Mechanistic research strategies, Network modeling, Representation, Systems biology",
author = "Sara Green and Maria Serban and Raphael Scholl and Nicholaos Jones and Ingo Brigandt and William Bechtel",
year = "2018",
month = apr,
day = "1",
doi = "10.1007/s11229-016-1307-6",
language = "English",
volume = "195",
pages = "1751–1777",
journal = "Synthese",
issn = "0039-7857",
publisher = "Springer",
number = "4",

}

RIS

TY - JOUR

T1 - Network Analyses in Systems Biology

T2 - New Strategies for Dealing with Biological Complexity

AU - Green, Sara

AU - Serban, Maria

AU - Scholl, Raphael

AU - Jones, Nicholaos

AU - Brigandt, Ingo

AU - Bechtel, William

PY - 2018/4/1

Y1 - 2018/4/1

N2 - The increasing application of network models to interpret biological systems raises a number of important methodological and epistemological questions. What novel insights can network analysis provide in biology? Are network approaches an extension of or in conflict with mechanistic research strategies? When and how can network and mechanistic approaches interact in productive ways? In this paper we address these questions by focusing on how biological networks are represented and analyzed in a diverse class of case studies. Our examples span from the investigation of organizational properties of biological networks using tools from graph theory to the application of dynamical systems theory to understand the behavior of complex biological systems. We show how network approaches support and extend traditional mechanistic strategies but also offer novel strategies for dealing with biological complexity.

AB - The increasing application of network models to interpret biological systems raises a number of important methodological and epistemological questions. What novel insights can network analysis provide in biology? Are network approaches an extension of or in conflict with mechanistic research strategies? When and how can network and mechanistic approaches interact in productive ways? In this paper we address these questions by focusing on how biological networks are represented and analyzed in a diverse class of case studies. Our examples span from the investigation of organizational properties of biological networks using tools from graph theory to the application of dynamical systems theory to understand the behavior of complex biological systems. We show how network approaches support and extend traditional mechanistic strategies but also offer novel strategies for dealing with biological complexity.

KW - Biological networks

KW - Mechanistic research strategies

KW - Network modeling

KW - Representation

KW - Systems biology

UR - http://www.scopus.com/inward/record.url?scp=85009865584&partnerID=8YFLogxK

U2 - 10.1007/s11229-016-1307-6

DO - 10.1007/s11229-016-1307-6

M3 - Journal article

VL - 195

SP - 1751

EP - 1777

JO - Synthese

JF - Synthese

SN - 0039-7857

IS - 4

ER -

ID: 170143221