Gene Ontology Tools: A Comparative Study
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Keywords

 Gene Ontology, Knowledge Representation, Visualization, Data Annotation.

How to Cite

Muhammad Shahzad, Kamran Ahsan, Adnan Nadeem, & Muhammad Sarim. (2015). Gene Ontology Tools: A Comparative Study. Journal of Basic & Applied Sciences, 11, 619–629. https://doi.org/10.6000/1927-5129.2015.11.83

Abstract

Gene ontology (GO) is a key initiative of bioinformatics to provide uniform description of gene product in different public databases. The GO project has initiated 3 (three) structured and organized controlled vocabularies (i.e. ontology) that describes gene products in term of cellular components, biological processes and functions in an independent of species. This resource saves lots of time and effort in finding information of any particular gene from different databases. Since 1998, many tools have been developed which at one end relieves the researchers to search particulars about gene products but at other end makes difficult to opt most appropriate tool for any certain investigation in gene ontology. Here we present the state-of-the-art web based GO tools currently used for biological ontologies. We adopt comparison methodology in conjunction with visualization capabilities and sources of annotation data. This paper considers three GO tools for the said purpose. In Visualization capabilities; Indented List, Node-link & tree and Zoomable capabilities of selected tools have been analyzed. In the data sources section; currently available sources for data annotation have been discussed. This review will facilitate potential users of the GO tools to select an appropriate tool for their need.

https://doi.org/10.6000/1927-5129.2015.11.83
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References

Lambrix P, Habbouche M, P´erez M. Evaluation of ontology development tools for bioinformatics. Oxford Journal Bioinformatics 2003; 19; 1564-1571. http://dx.doi.org/10.1093/bioinformatics/btg194

Schulze-Kremer S. Ontologies for Molecular Biology. Pacific Symposium on Biocomputing 1998; 695-706.

Klausner R. Cancer Genome Anatomy Project. Journal of the National Cancer Institute 1996; 88(24).

Cancer Genome Anatomy Project (CGAP). Available from: .

Schaefer C, Grouse L, Buetow K, Strausberg RL. A new cancer genome anatomy project web resource for the community. Cancer J 2001; 7(1): 52-60.

Cancer Genome Anatomy Project (CGAP). Available from:

Supek F. REVIGO 2010. Available from:

Schlicker A, Albrecht M. FunSimMat update: new features for exploringfunctional similarity. Nucleic Acids Research 2010; 38. http://dx.doi.org/10.1093/nar/gkp979

Supek F, Bosnjak M, Skunca N, Smuc T. REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms. PLoSONEwww.plosone.org, 2011; 6(7): e21800. http://dx.doi.org/10.1371/journal.pone.0021800

Scatter plots. Available from:

Utts, Jessica M. Seeing Through Statistics. 3rd Edition, Thomson Brooks/Cole 2005; pp. 166-167. ISBN 0-534-39402-7

Scatter plot. Available from:

Lopes CT, Franz M, Kazi F, Donaldson SL, Morris Q, Bader GD. Cytoscape Web: an interactive web-based network browser. Oxford Journal Bioinformatics 2010; 26(18): 2347-2348. http://dx.doi.org/10.1093/bioinformatics/btq430

Cline MS, Smoot M, Cerami E, Kuchinsky A, Landys N, Workman C, Christmas R, Avila-Campilo I, Creech M, Gross B, et al. Integration of biological networks and gene expression data using Cytoscape Nature Protocols 2007; 2(10): 2366-2382.

Carbon S, Ireland A, Mungall CJ, Shu SQ, Marshall B, Lewis S, the AmiGOHub, and the Web Presence Working Group. AmiGO: online access to ontology and annotation data. Bioinformatics 2008; 25(2): 288-289.

AmiGO Manual Overview. Available from:

AmiGO Manual Search. Available from:

AmiGO Manual Blast.Available from:

AmiGO Manual Browse.Available from:

AmiGO Manual Slimmer.Available from:

AmiGO Manual Term Enrichment.Available from:

Katifori A, Halatsis C, et al. Ontology Visualization Methods—A Survey. ACM Computing Surveys 2007; 39(4): Article 10. http://dx.doi.org/10.1145/1287620.1287621

Barrell D, Dimmer E, Huntley RP, Binns D, O'Donovan C, et al. The GOA database in 2009–an integrated Gene Ontology Annotation resource. Nucleic Acids Res 2009; 37: D396-403. http://dx.doi.org/10.1093/nar/gkn803

Khatri P, Dr?ghici S. Ontological analysis of gene expression data: current tools, limitations, and open problems. Oxford Journal Bioinformatics 2005; 21(18): 3587-3595.

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Copyright (c) 2015 Muhammad Shahzad, Kamran Ahsan, Adnan Nadeem , Muhammad Sarim