A novel framework for the comparative analysis of biological networks.

Genome sequencing projects provide nearly complete lists of the individual components present in an organism, but reveal little about how they work together. Follow-up initiatives have deciphered thousands of dynamic and context-dependent interrelationships between gene products that need to be anal...

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Autores principales:	Roland A Pache, Patrick Aloy
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/931a3cf0139f45c69d3ad531d8b3682f
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spelling	oai:doaj.org-article:931a3cf0139f45c69d3ad531d8b3682f2021-11-18T07:27:23ZA novel framework for the comparative analysis of biological networks.1932-620310.1371/journal.pone.0031220https://doaj.org/article/931a3cf0139f45c69d3ad531d8b3682f2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22363585/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Genome sequencing projects provide nearly complete lists of the individual components present in an organism, but reveal little about how they work together. Follow-up initiatives have deciphered thousands of dynamic and context-dependent interrelationships between gene products that need to be analyzed with novel bioinformatics approaches able to capture their complex emerging properties. Here, we present a novel framework for the alignment and comparative analysis of biological networks of arbitrary topology. Our strategy includes the prediction of likely conserved interactions, based on evolutionary distances, to counter the high number of missing interactions in the current interactome networks, and a fast assessment of the statistical significance of individual alignment solutions, which vastly increases its performance with respect to existing tools. Finally, we illustrate the biological significance of the results through the identification of novel complex components and potential cases of cross-talk between pathways and alternative signaling routes.Roland A PachePatrick AloyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e31220 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Roland A Pache Patrick Aloy A novel framework for the comparative analysis of biological networks.
description	Genome sequencing projects provide nearly complete lists of the individual components present in an organism, but reveal little about how they work together. Follow-up initiatives have deciphered thousands of dynamic and context-dependent interrelationships between gene products that need to be analyzed with novel bioinformatics approaches able to capture their complex emerging properties. Here, we present a novel framework for the alignment and comparative analysis of biological networks of arbitrary topology. Our strategy includes the prediction of likely conserved interactions, based on evolutionary distances, to counter the high number of missing interactions in the current interactome networks, and a fast assessment of the statistical significance of individual alignment solutions, which vastly increases its performance with respect to existing tools. Finally, we illustrate the biological significance of the results through the identification of novel complex components and potential cases of cross-talk between pathways and alternative signaling routes.
format	article
author	Roland A Pache Patrick Aloy
author_facet	Roland A Pache Patrick Aloy
author_sort	Roland A Pache
title	A novel framework for the comparative analysis of biological networks.
title_short	A novel framework for the comparative analysis of biological networks.
title_full	A novel framework for the comparative analysis of biological networks.
title_fullStr	A novel framework for the comparative analysis of biological networks.
title_full_unstemmed	A novel framework for the comparative analysis of biological networks.
title_sort	novel framework for the comparative analysis of biological networks.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/931a3cf0139f45c69d3ad531d8b3682f
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A novel framework for the comparative analysis of biological networks.

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