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Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database
BACKGROUND: In computer science, database systems are based on the relational model founded by Edgar Codd in 1970. On the other hand, in the area of biology the word 'database' often refers to loosely formatted, very large text files. Although such bio-databases may describe conflicts or a...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556319/ https://www.ncbi.nlm.nih.gov/pubmed/18822113 http://dx.doi.org/10.1186/1756-0381-1-7 |
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author | Arita, Masanori Suwa, Kazuhiro |
author_facet | Arita, Masanori Suwa, Kazuhiro |
author_sort | Arita, Masanori |
collection | PubMed |
description | BACKGROUND: In computer science, database systems are based on the relational model founded by Edgar Codd in 1970. On the other hand, in the area of biology the word 'database' often refers to loosely formatted, very large text files. Although such bio-databases may describe conflicts or ambiguities (e.g. a protein pair do and do not interact, or unknown parameters) in a positive sense, the flexibility of the data format sacrifices a systematic query mechanism equivalent to the widely used SQL. RESULTS: To overcome this disadvantage, we propose embeddable string-search commands on a Wiki-based system and designed a half-formatted database. As proof of principle, a database of flavonoid with 6902 molecular structures from over 1687 plant species was implemented on MediaWiki, the background system of Wikipedia. Registered users can describe any information in an arbitrary format. Structured part is subject to text-string searches to realize relational operations. The system was written in PHP language as the extension of MediaWiki. All modifications are open-source and publicly available. CONCLUSION: This scheme benefits from both the free-formatted Wiki style and the concise and structured relational-database style. MediaWiki supports multi-user environments for document management, and the cost for database maintenance is alleviated. |
format | Text |
id | pubmed-2556319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25563192008-09-30 Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database Arita, Masanori Suwa, Kazuhiro BioData Min Research BACKGROUND: In computer science, database systems are based on the relational model founded by Edgar Codd in 1970. On the other hand, in the area of biology the word 'database' often refers to loosely formatted, very large text files. Although such bio-databases may describe conflicts or ambiguities (e.g. a protein pair do and do not interact, or unknown parameters) in a positive sense, the flexibility of the data format sacrifices a systematic query mechanism equivalent to the widely used SQL. RESULTS: To overcome this disadvantage, we propose embeddable string-search commands on a Wiki-based system and designed a half-formatted database. As proof of principle, a database of flavonoid with 6902 molecular structures from over 1687 plant species was implemented on MediaWiki, the background system of Wikipedia. Registered users can describe any information in an arbitrary format. Structured part is subject to text-string searches to realize relational operations. The system was written in PHP language as the extension of MediaWiki. All modifications are open-source and publicly available. CONCLUSION: This scheme benefits from both the free-formatted Wiki style and the concise and structured relational-database style. MediaWiki supports multi-user environments for document management, and the cost for database maintenance is alleviated. BioMed Central 2008-09-17 /pmc/articles/PMC2556319/ /pubmed/18822113 http://dx.doi.org/10.1186/1756-0381-1-7 Text en Copyright © 2008 Arita and Suwa; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Arita, Masanori Suwa, Kazuhiro Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database |
title | Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database |
title_full | Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database |
title_fullStr | Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database |
title_full_unstemmed | Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database |
title_short | Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database |
title_sort | search extension transforms wiki into a relational system: a case for flavonoid metabolite database |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556319/ https://www.ncbi.nlm.nih.gov/pubmed/18822113 http://dx.doi.org/10.1186/1756-0381-1-7 |
work_keys_str_mv | AT aritamasanori searchextensiontransformswikiintoarelationalsystemacaseforflavonoidmetabolitedatabase AT suwakazuhiro searchextensiontransformswikiintoarelationalsystemacaseforflavonoidmetabolitedatabase |