Literature DB >> 20053712

CORNET: a user-friendly tool for data mining and integration.

Stefanie De Bodt1, Diana Carvajal, Jens Hollunder, Joost Van den Cruyce, Sara Movahedi, Dirk Inzé.   

Abstract

As an overwhelming amount of functional genomics data have been generated, the retrieval, integration, and interpretation of these data need to be facilitated to enable the advance of (systems) biological research. For example, gathering and processing microarray data that are related to a particular biological process is not straightforward, nor is the compilation of protein-protein interactions from numerous partially overlapping databases identified through diverse approaches. However, these tasks are inevitable to address the following questions. Does a group of differentially expressed genes show similar expression in diverse microarray experiments? Was an identified protein-protein interaction previously detected by other approaches? Are the interacting proteins encoded by genes with similar expression profiles and localization? We developed CORNET (for CORrelation NETworks) as an access point to transcriptome, protein interactome, and localization data and functional information on Arabidopsis (Arabidopsis thaliana). It consists of two flexible and versatile tools, namely the coexpression tool and the protein-protein interaction tool. The ability to browse and search microarray experiments using ontology terms and the incorporation of personal microarray data are distinctive features of the microarray repository. The coexpression tool enables either the alternate or simultaneous use of diverse expression compendia, whereas the protein-protein interaction tool searches experimentally and computationally identified protein-protein interactions. Different search options are implemented to enable the construction of coexpression and/or protein-protein interaction networks centered around multiple input genes or proteins. Moreover, networks and associated evidence are visualized in Cytoscape. Localization is visualized in pie charts, thereby allowing multiple localizations per protein. CORNET is available at http://bioinformatics.psb.ugent.be/cornet.

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Year:  2010        PMID: 20053712      PMCID: PMC2832254          DOI: 10.1104/pp.109.147215

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  76 in total

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Journal:  Plant Physiol       Date:  2006-08-18       Impact factor: 8.340

5.  Synergistic derepression of gibberellin signaling by removing RGA and GAI function in Arabidopsis thaliana.

Authors:  A Dill; T Sun
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

6.  Proteolysis-independent downregulation of DELLA repression in Arabidopsis by the gibberellin receptor GIBBERELLIN INSENSITIVE DWARF1.

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7.  Coordinated regulation of Arabidopsis thaliana development by light and gibberellins.

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8.  Qualitative network models and genome-wide expression data define carbon/nitrogen-responsive molecular machines in Arabidopsis.

Authors:  Rodrigo A Gutiérrez; Laurence V Lejay; Alexis Dean; Francesca Chiaromonte; Dennis E Shasha; Gloria M Coruzzi
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

9.  ATTED-II provides coexpressed gene networks for Arabidopsis.

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Journal:  Nucleic Acids Res       Date:  2008-10-25       Impact factor: 16.971

10.  The Plant Ontology Consortium and plant ontologies.

Authors: 
Journal:  Comp Funct Genomics       Date:  2002
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Journal:  Plant Physiol       Date:  2011-05-13       Impact factor: 8.340

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6.  A Spatiotemporal DNA Endoploidy Map of the Arabidopsis Root Reveals Roles for the Endocycle in Root Development and Stress Adaptation.

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Journal:  Plant Cell       Date:  2018-08-16       Impact factor: 11.277

7.  Arabidopsis ensemble reverse-engineered gene regulatory network discloses interconnected transcription factors in oxidative stress.

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Review 8.  Engineering crassulacean acid metabolism to improve water-use efficiency.

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9.  The potential of text mining in data integration and network biology for plant research: a case study on Arabidopsis.

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10.  MorphDB: Prioritizing Genes for Specialized Metabolism Pathways and Gene Ontology Categories in Plants.

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