Literature DB >> 18487700

Gene Regulation Ontology (GRO): design principles and use cases.

Elena Beisswanger1, Vivian Lee, Jung-Jae Kim, Dietrich Rebholz-Schuhmann, Andrea Splendiani, Olivier Dameron, Stefan Schulz, Udo Hahn.   

Abstract

The Gene Regulation Ontology (GRO) is designed as a novel approach to model complex events that are part of the gene regulatory processes. We introduce the design requirements for such a conceptual model and discuss terminological resources suitable to base its construction on. The ontology defines gene regulation events in terms of ontological classes and imposes constraints on them by specifying the participants involved. The logical structure of the ontology is intended to meet the needs of advanced information extraction and text mining systems which target the identification of event representations in scientific literature. The GRO has just been submitted to the OBO library and is currently under review. It is available at http://www.ebi.ac.uk/Rebholz-srv/GRO/GRO.html.

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Year:  2008        PMID: 18487700

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  10 in total

1.  Ontology design patterns to disambiguate relations between genes and gene products in GENIA.

Authors:  Robert Hoehndorf; Axel-Cyrille Ngonga Ngomo; Sampo Pyysalo; Tomoko Ohta; Anika Oellrich; Dietrich Rebholz-Schuhmann
Journal:  J Biomed Semantics       Date:  2011-10-06

2.  The BioLexicon: a large-scale terminological resource for biomedical text mining.

Authors:  Paul Thompson; John McNaught; Simonetta Montemagni; Nicoletta Calzolari; Riccardo del Gratta; Vivian Lee; Simone Marchi; Monica Monachini; Piotr Pezik; Valeria Quochi; C J Rupp; Yutaka Sasaki; Giulia Venturi; Dietrich Rebholz-Schuhmann; Sophia Ananiadou
Journal:  BMC Bioinformatics       Date:  2011-10-12       Impact factor: 3.169

3.  Improving the extraction of complex regulatory events from scientific text by using ontology-based inference.

Authors:  Jung-Jae Kim; Dietrich Rebholz-Schuhmann
Journal:  J Biomed Semantics       Date:  2011-10-06

4.  Extending the evaluation of Genia Event task toward knowledge base construction and comparison to Gene Regulation Ontology task.

Authors:  Jin-Dong Kim; Jung-Jae Kim; Xu Han; Dietrich Rebholz-Schuhmann
Journal:  BMC Bioinformatics       Date:  2015-07-13       Impact factor: 3.169

5.  Evaluation and cross-comparison of lexical entities of biological interest (LexEBI).

Authors:  Dietrich Rebholz-Schuhmann; Jee-Hyub Kim; Ying Yan; Abhishek Dixit; Caroline Friteyre; Robert Hoehndorf; Rolf Backofen; Ian Lewin
Journal:  PLoS One       Date:  2013-10-04       Impact factor: 3.240

6.  Extracting rate changes in transcriptional regulation from MEDLINE abstracts.

Authors:  Wenting Liu; Kui Miao; Guangxia Li; Kuiyu Chang; Jie Zheng; Jagath C Rajapakse
Journal:  BMC Bioinformatics       Date:  2014-01-24       Impact factor: 3.169

7.  The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.

Authors:  Arzucan Özgür; Junguk Hur; Yongqun He
Journal:  BioData Min       Date:  2016-12-19       Impact factor: 2.522

8.  Identifying and classifying biomedical perturbations in text.

Authors:  Raul Rodriguez-Esteban; Phoebe M Roberts; Matthew E Crawford
Journal:  Nucleic Acids Res       Date:  2008-12-12       Impact factor: 16.971

9.  Modeling structure-function relationships in synthetic DNA sequences using attribute grammars.

Authors:  Yizhi Cai; Matthew W Lux; Laura Adam; Jean Peccoud
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

10.  Differential gene expression in disease: a comparison between high-throughput studies and the literature.

Authors:  Raul Rodriguez-Esteban; Xiaoyu Jiang
Journal:  BMC Med Genomics       Date:  2017-10-11       Impact factor: 3.063

  10 in total

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