Protein ontology

Two factors dominate current developments in structural bioinformatics, especially in protein informatics and related areas: (1) the amount of raw data is increasing, very rapidly; and (2) successful application of data to biomedical research requires carefully and continuously curated and accuratel...

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Main Authors: Sidhu, Amandeep, Dillon, Tharam S., Chang, Elizabeth
Format: Book Chapter
Published: Artech House 2007
Online Access:http://hdl.handle.net/20.500.11937/36218
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author Sidhu, Amandeep
Dillon, Tharam S.
Chang, Elizabeth
author_facet Sidhu, Amandeep
Dillon, Tharam S.
Chang, Elizabeth
author_sort Sidhu, Amandeep
building Curtin Institutional Repository
collection Online Access
description Two factors dominate current developments in structural bioinformatics, especially in protein informatics and related areas: (1) the amount of raw data is increasing, very rapidly; and (2) successful application of data to biomedical research requires carefully and continuously curated and accurately annotated protein databanks. In this chapter, we introduce the concepts for annotating protein data using our protein ontology. We first describe and review existing approaches for protein annotation.We then describe the advantages of semantic integration of protein data using Web ontology language, in comparison to annotating using automatic search and analyzing using text mining. The rest of chapter is devoted to the use of the protein ontology for the annotation of protein databases. The protein ontology is available at <a href="http://www.proteinontology.info/">http://www.proteinontology.info/</a>.
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format Book Chapter
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institution Curtin University Malaysia
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publishDate 2007
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spelling curtin-20.500.11937-362182017-01-30T13:54:24Z Protein ontology Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth Two factors dominate current developments in structural bioinformatics, especially in protein informatics and related areas: (1) the amount of raw data is increasing, very rapidly; and (2) successful application of data to biomedical research requires carefully and continuously curated and accurately annotated protein databanks. In this chapter, we introduce the concepts for annotating protein data using our protein ontology. We first describe and review existing approaches for protein annotation.We then describe the advantages of semantic integration of protein data using Web ontology language, in comparison to annotating using automatic search and analyzing using text mining. The rest of chapter is devoted to the use of the protein ontology for the annotation of protein databases. The protein ontology is available at <a href="http://www.proteinontology.info/">http://www.proteinontology.info/</a>. 2007 Book Chapter http://hdl.handle.net/20.500.11937/36218 Artech House fulltext
spellingShingle Sidhu, Amandeep
Dillon, Tharam S.
Chang, Elizabeth
Protein ontology
title Protein ontology
title_full Protein ontology
title_fullStr Protein ontology
title_full_unstemmed Protein ontology
title_short Protein ontology
title_sort protein ontology
url http://hdl.handle.net/20.500.11937/36218