Literature DB >> 28544878

Evolutionary Context Improves Regulatory Network Predictions.

Jonathan L Gordon1, Brigida Gallone2, Steven Maere3, Kevin J Verstrepen4.   

Abstract

A novel algorithm harnesses phylogenetic information and facilitates a better understanding of the evolutionary divergence of gene regulation between species.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Mesh：

Year:  2017        PMID： 28544878      PMCID： PMC5467721          DOI： 10.1016/j.cels.2017.05.004

Source DB:  PubMed          Journal:  Cell Syst        ISSN： 2405-4712            Impact factor:   10.304


  6 in total

Review 1.  Evolution at two levels in humans and chimpanzees.

Authors:  M C King; A C Wilson
Journal:  Science       Date:  1975-04-11       Impact factor: 47.728

Review 2.  Comparative analysis of gene regulatory networks: from network reconstruction to evolution.

Authors:  Dawn Thompson; Aviv Regev; Sushmita Roy
Journal:  Annu Rev Cell Dev Biol       Date:  2015-09-03       Impact factor: 13.827

3.  A multiple network learning approach to capture system-wide condition-specific responses.

Authors:  Sushmita Roy; Margaret Werner-Washburne; Terran Lane
Journal:  Bioinformatics       Date:  2011-05-05       Impact factor: 6.937

Review 4.  How do regulatory networks evolve and expand throughout evolution?

Authors:  Karin Voordeckers; Ksenia Pougach; Kevin J Verstrepen
Journal:  Curr Opin Biotechnol       Date:  2015-02-24       Impact factor: 9.740

5.  Contributions of protein-coding and regulatory change to adaptive molecular evolution in murid rodents.

Authors:  Daniel L Halligan; Athanasios Kousathanas; Rob W Ness; Bettina Harr; Lél Eöry; Thomas M Keane; David J Adams; Peter D Keightley
Journal:  PLoS Genet       Date:  2013-12-05       Impact factor: 5.917

6.  Duplication of a promiscuous transcription factor drives the emergence of a new regulatory network.

Authors:  Ksenia Pougach; Arnout Voet; Fyodor A Kondrashov; Karin Voordeckers; Joaquin F Christiaens; Bianka Baying; Vladimir Benes; Ryo Sakai; Jan Aerts; Bo Zhu; Patrick Van Dijck; Kevin J Verstrepen
Journal:  Nat Commun       Date:  2014-09-10       Impact factor: 14.919
  6 in total

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