Literature DB >> 22144152

Directed module detection in a large-scale expression compendium.

Qiang Fu1, Karen Lemmens, Aminael Sanchez-Rodriguez, Inge M Thijs, Pieter Meysman, Hong Sun, Ana Carolina Fierro, Kristof Engelen, Kathleen Marchal.   

Abstract

Public online microarray databases contain tremendous amounts of expression data. Mining these data sources can provide a wealth of information on the underlying transcriptional networks. In this chapter, we illustrate how the web services COLOMBOS and DISTILLER can be used to identify condition-dependent coexpression modules by exploring compendia of public expression data. COLOMBOS is designed for user-specified query-driven analysis, whereas DISTILLER generates a global regulatory network overview. The user is guided through both web services by means of a case study in which condition-dependent coexpression modules comprising a gene of interest (i.e., "directed") are identified.

Mesh:

Year:  2012        PMID: 22144152     DOI: 10.1007/978-1-61779-361-5_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Network-based modular latent structure analysis.

Authors:  Tianwei Yu; Yun Bai
Journal:  BMC Bioinformatics       Date:  2014-11-13       Impact factor: 3.169

Review 2.  Using genome-wide expression compendia to study microorganisms.

Authors:  Alexandra J Lee; Taylor Reiter; Georgia Doing; Julia Oh; Deborah A Hogan; Casey S Greene
Journal:  Comput Struct Biotechnol J       Date:  2022-08-10       Impact factor: 6.155

3.  COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia.

Authors:  Pieter Meysman; Paolo Sonego; Luca Bianco; Qiang Fu; Daniela Ledezma-Tejeida; Socorro Gama-Castro; Veerle Liebens; Jan Michiels; Kris Laukens; Kathleen Marchal; Julio Collado-Vides; Kristof Engelen
Journal:  Nucleic Acids Res       Date:  2013-11-08       Impact factor: 16.971

  3 in total

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