Literature DB >> 15513987

GOChase: correcting errors from Gene Ontology-based annotations for gene products.

Yu Rang Park1, Chan Hee Park, Ju Han Kim.   

Abstract

SUMMARY: The Gene Ontology (GO) is a controlled biological vocabulary that provides three structured networks of terms to describe biological processes, cellular components and molecular functions. Many databases of gene products are annotated using the GO vocabularies. We found that some GO-updating operations are not easily traceable by the current biological databases and GO browsers. Consequently, numerous annotation errors arise and are propagated throughout biological databases and GO-based high-level analyses. GOChase is a set of web-based utilities to detect and correct the errors in GO-based annotations.

Mesh:

Substances:

Year:  2004        PMID: 15513987     DOI: 10.1093/bioinformatics/bti106

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

1.  Assessing identity, redundancy and confounds in Gene Ontology annotations over time.

Authors:  Jesse Gillis; Paul Pavlidis
Journal:  Bioinformatics       Date:  2013-01-06       Impact factor: 6.937

2.  The emerging CK2 interactome: insights into the regulation and functions of CK2.

Authors:  Laszlo Gyenis; David W Litchfield
Journal:  Mol Cell Biochem       Date:  2008-06-14       Impact factor: 3.396

3.  GOChase-II: correcting semantic inconsistencies from Gene Ontology-based annotations for gene products.

Authors:  Yu Rang Park; Jihun Kim; Hye Won Lee; Young Jo Yoon; Ju Han Kim
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

Review 4.  Advancing translational research with the Semantic Web.

Authors:  Alan Ruttenberg; Tim Clark; William Bug; Matthias Samwald; Olivier Bodenreider; Helen Chen; Donald Doherty; Kerstin Forsberg; Yong Gao; Vipul Kashyap; June Kinoshita; Joanne Luciano; M Scott Marshall; Chimezie Ogbuji; Jonathan Rees; Susie Stephens; Gwendolyn T Wong; Elizabeth Wu; Davide Zaccagnini; Tonya Hongsermeier; Eric Neumann; Ivan Herman; Kei-Hoi Cheung
Journal:  BMC Bioinformatics       Date:  2007-05-09       Impact factor: 3.169

5.  Region Evolution eXplorer - A tool for discovering evolution trends in ontology regions.

Authors:  Victor Christen; Michael Hartung; Anika Groß
Journal:  J Biomed Semantics       Date:  2015-06-01

6.  OnEX: Exploring changes in life science ontologies.

Authors:  Michael Hartung; Toralf Kirsten; Anika Gross; Erhard Rahm
Journal:  BMC Bioinformatics       Date:  2009-08-13       Impact factor: 3.169

7.  Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach.

Authors:  Carson Andorf; Drena Dobbs; Vasant Honavar
Journal:  BMC Bioinformatics       Date:  2007-08-03       Impact factor: 3.169

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.