Literature DB >> 30107399

Monitoring changes in the Gene Ontology and their impact on genomic data analysis.

Matthew Jacobson1,2, Adriana Estela Sedeño-Cortés3, Paul Pavlidis1,2.   

Abstract

Background: The Gene Ontology (GO) is one of the most widely used resources in molecular and cellular biology, largely through the use of "enrichment analysis." To facilitate informed use of GO, we present GOtrack (https://gotrack.msl.ubc.ca), which provides access to historical records and trends in the GO and GO annotations. Findings: GOtrack gives users access to gene- and term-level information on annotations for nine model organisms as well as an interactive tool that measures the stability of enrichment results over time for user-provided "hit lists" of genes. To document the effects of GO evolution on enrichment, we analyzed more than 2,500 published hit lists of human genes (most older than 9 years ); 53% of hit lists were considered to yield significantly stable enrichment results. Conclusions: Because stability is far from assured for any individual hit list, GOtrack can lead to more informed and cautious application of GO to genomics research.

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Mesh:

Year:  2018        PMID: 30107399      PMCID: PMC6113503          DOI: 10.1093/gigascience/giy103

Source DB:  PubMed          Journal:  Gigascience        ISSN: 2047-217X            Impact factor:   6.524


  24 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

Review 2.  Use and misuse of the gene ontology annotations.

Authors:  Seung Yon Rhee; Valerie Wood; Kara Dolinski; Sorin Draghici
Journal:  Nat Rev Genet       Date:  2008-05-13       Impact factor: 53.242

3.  Gene Ontology: Pitfalls, Biases, and Remedies.

Authors:  Pascale Gaudet; Christophe Dessimoz
Journal:  Methods Mol Biol       Date:  2017

4.  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

5.  Impact of outdated gene annotations on pathway enrichment analysis.

Authors:  Lina Wadi; Mona Meyer; Joel Weiser; Lincoln D Stein; Jüri Reimand
Journal:  Nat Methods       Date:  2016-08-30       Impact factor: 28.547

6.  The impact of focused Gene Ontology curation of specific mammalian systems.

Authors:  Yasmin Alam-Faruque; Rachael P Huntley; Varsha K Khodiyar; Evelyn B Camon; Emily C Dimmer; Tony Sawford; Maria J Martin; Claire O'Donovan; Philippa J Talmud; Peter Scambler; Rolf Apweiler; Ruth C Lovering
Journal:  PLoS One       Date:  2011-12-09       Impact factor: 3.240

7.  UniProt: the universal protein knowledgebase.

Authors: 
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

8.  Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations.

Authors:  Aurelie Tomczak; Jonathan M Mortensen; Rainer Winnenburg; Charles Liu; Dominique T Alessi; Varsha Swamy; Francesco Vallania; Shane Lofgren; Winston Haynes; Nigam H Shah; Mark A Musen; Purvesh Khatri
Journal:  Sci Rep       Date:  2018-03-23       Impact factor: 4.379

9.  QuickGO: a web-based tool for Gene Ontology searching.

Authors:  David Binns; Emily Dimmer; Rachael Huntley; Daniel Barrell; Claire O'Donovan; Rolf Apweiler
Journal:  Bioinformatics       Date:  2009-09-10       Impact factor: 6.937

10.  Gene Ontology term overlap as a measure of gene functional similarity.

Authors:  Meeta Mistry; Paul Pavlidis
Journal:  BMC Bioinformatics       Date:  2008-08-04       Impact factor: 3.169

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  2 in total

1.  Monitoring changes in the Gene Ontology and their impact on genomic data analysis.

Authors:  Matthew Jacobson; Adriana Estela Sedeño-Cortés; Paul Pavlidis
Journal:  Gigascience       Date:  2018-08-01       Impact factor: 6.524

2.  Graph-based exploitation of gene ontology using GOxploreR for scrutinizing biological significance.

Authors:  Kalifa Manjang; Shailesh Tripathi; Olli Yli-Harja; Matthias Dehmer; Frank Emmert-Streib
Journal:  Sci Rep       Date:  2020-10-07       Impact factor: 4.379

  2 in total

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