Literature DB >> 15089753

TRANSFAC, TRANSPATH and CYTOMER as starting points for an ontology of regulatory networks.

Edgar Wingender1.   

Abstract

Building an ontology of a defined knowledge domain can help to model an appropriate database structure for the relevant contents. On the other hand, having a comprehensive overview of the knowledge of a certain domain as it may be provided by corresponding databases facilitates building an appropriate ontology, or ontologies with different granularities, which may then provide many additional benefits in handling the stored and in retrieving additional information from heterogenous sources. In this communication, the first steps are reported how we may derive an ontology for the domain of "molecular regulation" from our databases TRANSFAC (transcriptional regulation), TRANSPATH (signal transduction) and CYTOMER (cellular locations). Copyright 2004 IOS Press

Mesh:

Year:  2004        PMID: 15089753

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  25 in total

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Journal:  Genome Res       Date:  2005-12-12       Impact factor: 9.043

4.  Identification and characterization of genes susceptible to transcriptional cross-talk between the hypoxia and dioxin signaling cascades.

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5.  Footer: a quantitative comparative genomics method for efficient recognition of cis-regulatory elements.

Authors:  David L Corcoran; Eleanor Feingold; Jessica Dominick; Marietta Wright; Jo Harnaha; Massimo Trucco; Nick Giannoukakis; Panayiotis V Benos
Journal:  Genome Res       Date:  2005-06       Impact factor: 9.043

6.  CoryneRegNet: an ontology-based data warehouse of corynebacterial transcription factors and regulatory networks.

Authors:  Jan Baumbach; Karina Brinkrolf; Lisa F Czaja; Sven Rahmann; Andreas Tauch
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7.  Theoretical and empirical quality assessment of transcription factor-binding motifs.

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Journal:  Nucleic Acids Res       Date:  2010-10-04       Impact factor: 16.971

8.  High throughput determination of TGFβ1/SMAD3 targets in A549 lung epithelial cells.

Authors:  Yingze Zhang; Daniel Handley; Tommy Kaplan; Haiying Yu; Abha S Bais; Thomas Richards; Kusum V Pandit; Qilu Zeng; Panayiotis V Benos; Nir Friedman; Oliver Eickelberg; Naftali Kaminski
Journal:  PLoS One       Date:  2011-05-20       Impact factor: 3.240

9.  Features of mammalian microRNA promoters emerge from polymerase II chromatin immunoprecipitation data.

Authors:  David L Corcoran; Kusum V Pandit; Ben Gordon; Arindam Bhattacharjee; Naftali Kaminski; Panayiotis V Benos
Journal:  PLoS One       Date:  2009-04-23       Impact factor: 3.240

10.  A novel putative miRNA target enhancer signal.

Authors:  Thorsten Schmidt; Hans-Werner Mewes; Volker Stümpflen
Journal:  PLoS One       Date:  2009-07-31       Impact factor: 3.240

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