Evolution at the system level: the natural history of protein interaction networks

Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

Standard

Evolution at the system level : the natural history of protein interaction networks. / Stumpf, M. P H; Kelly, William P.; Thorne, Thomas; Wiuf, Carsten.

I: Trends in Ecology and Evolution, Bind 22, Nr. 7, 01.07.2007, s. 366-373.

Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

Harvard

Stumpf, MPH, Kelly, WP, Thorne, T & Wiuf, C 2007, 'Evolution at the system level: the natural history of protein interaction networks', Trends in Ecology and Evolution, bind 22, nr. 7, s. 366-373. https://doi.org/10.1016/j.tree.2007.04.004

APA

Stumpf, M. P. H., Kelly, W. P., Thorne, T., & Wiuf, C. (2007). Evolution at the system level: the natural history of protein interaction networks. Trends in Ecology and Evolution, 22(7), 366-373. https://doi.org/10.1016/j.tree.2007.04.004

Vancouver

Stumpf MPH, Kelly WP, Thorne T, Wiuf C. Evolution at the system level: the natural history of protein interaction networks. Trends in Ecology and Evolution. 2007 jul. 1;22(7):366-373. https://doi.org/10.1016/j.tree.2007.04.004

Author

Stumpf, M. P H ; Kelly, William P. ; Thorne, Thomas ; Wiuf, Carsten. / Evolution at the system level : the natural history of protein interaction networks. I: Trends in Ecology and Evolution. 2007 ; Bind 22, Nr. 7. s. 366-373.

Bibtex

@article{da83d44faf73429da8659189d949e082,
title = "Evolution at the system level: the natural history of protein interaction networks",
abstract = "Recent work leading to new insights into the molecular architecture underlying complex cellular phenotypes enables researchers to investigate evolutionary processes in unprecedented detail. Protein interaction network data, which are now available for an increasing number of species, promise new insights and there have been many recent studies investigating evolutionary aspects of these interaction networks, from mathematical studies of growing networks to detailed phylogenetic surveys of proteins in their interaction network context. Here, we review the spectrum of such approaches, and assess issues associated with analyzing such data from an evolutionary perspective. Currently, such analyses are statistically challenging, but could link present initiatives in systems biology with results and methodologies that have developed in evolutionary biology over the past 60 years.",
author = "Stumpf, {M. P H} and Kelly, {William P.} and Thomas Thorne and Carsten Wiuf",
year = "2007",
month = jul,
day = "1",
doi = "10.1016/j.tree.2007.04.004",
language = "English",
volume = "22",
pages = "366--373",
journal = "Trends in Ecology & Evolution",
issn = "0169-5347",
publisher = "Elsevier Ltd. * Trends Journals",
number = "7",

}

RIS

TY - JOUR

T1 - Evolution at the system level

T2 - the natural history of protein interaction networks

AU - Stumpf, M. P H

AU - Kelly, William P.

AU - Thorne, Thomas

AU - Wiuf, Carsten

PY - 2007/7/1

Y1 - 2007/7/1

N2 - Recent work leading to new insights into the molecular architecture underlying complex cellular phenotypes enables researchers to investigate evolutionary processes in unprecedented detail. Protein interaction network data, which are now available for an increasing number of species, promise new insights and there have been many recent studies investigating evolutionary aspects of these interaction networks, from mathematical studies of growing networks to detailed phylogenetic surveys of proteins in their interaction network context. Here, we review the spectrum of such approaches, and assess issues associated with analyzing such data from an evolutionary perspective. Currently, such analyses are statistically challenging, but could link present initiatives in systems biology with results and methodologies that have developed in evolutionary biology over the past 60 years.

AB - Recent work leading to new insights into the molecular architecture underlying complex cellular phenotypes enables researchers to investigate evolutionary processes in unprecedented detail. Protein interaction network data, which are now available for an increasing number of species, promise new insights and there have been many recent studies investigating evolutionary aspects of these interaction networks, from mathematical studies of growing networks to detailed phylogenetic surveys of proteins in their interaction network context. Here, we review the spectrum of such approaches, and assess issues associated with analyzing such data from an evolutionary perspective. Currently, such analyses are statistically challenging, but could link present initiatives in systems biology with results and methodologies that have developed in evolutionary biology over the past 60 years.

UR - http://www.scopus.com/inward/record.url?scp=34250322596&partnerID=8YFLogxK

U2 - 10.1016/j.tree.2007.04.004

DO - 10.1016/j.tree.2007.04.004

M3 - Review

C2 - 17475365

AN - SCOPUS:34250322596

VL - 22

SP - 366

EP - 373

JO - Trends in Ecology & Evolution

JF - Trends in Ecology & Evolution

SN - 0169-5347

IS - 7

ER -

ID: 203904734