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OReFiL: an online resource finder for life sciences

BACKGROUND: Many online resources for the life sciences have been developed and introduced in peer-reviewed papers recently, ranging from databases and web applications to data-analysis software. Some have been introduced in special journal issues or websites with a search function, but others remai...

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Detalles Bibliográficos
Autores principales: Yamamoto, Yasunori, Takagi, Toshihisa
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1976328/
https://www.ncbi.nlm.nih.gov/pubmed/17683589
http://dx.doi.org/10.1186/1471-2105-8-287
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author Yamamoto, Yasunori
Takagi, Toshihisa
author_facet Yamamoto, Yasunori
Takagi, Toshihisa
author_sort Yamamoto, Yasunori
collection PubMed
description BACKGROUND: Many online resources for the life sciences have been developed and introduced in peer-reviewed papers recently, ranging from databases and web applications to data-analysis software. Some have been introduced in special journal issues or websites with a search function, but others remain scattered throughout the Internet and in the published literature. The searchable resources on these sites are collected and maintained manually and are therefore of higher quality than automatically updated sites, but also require more time and effort. DESCRIPTION: We developed an online resource search system called OReFiL to address these issues. We developed a crawler to gather all of the web pages whose URLs appear in MEDLINE abstracts and full-text papers on the BioMed Central open-access journals. The URLs were extracted using regular expressions and rules based on our heuristic knowledge. We then indexed the online resources to facilitate their retrieval and comparison by researchers. Because every online resource has at least one PubMed ID, we can easily acquire its summary with Medical Subject Headings (MeSH) terms and confirm its credibility through reference to the corresponding PubMed entry. In addition, because OReFiL automatically extracts URLs and updates the index, minimal time and effort is needed to maintain the system. CONCLUSION: We developed OReFiL, a search system for online life science resources, which is freely available. The system's distinctive features include the ability to return up-to-date query-relevant online resources introduced in peer-reviewed papers; the ability to search using free words, MeSH terms, or author names; easy verification of each hit following links to the corresponding PubMed entry or to papers citing the URL through the search systems of BioMed Central, Scirus, HighWire Press, or Google Scholar; and quick confirmation of the existence of an online resource web page.
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spelling pubmed-19763282007-09-13 OReFiL: an online resource finder for life sciences Yamamoto, Yasunori Takagi, Toshihisa BMC Bioinformatics Database BACKGROUND: Many online resources for the life sciences have been developed and introduced in peer-reviewed papers recently, ranging from databases and web applications to data-analysis software. Some have been introduced in special journal issues or websites with a search function, but others remain scattered throughout the Internet and in the published literature. The searchable resources on these sites are collected and maintained manually and are therefore of higher quality than automatically updated sites, but also require more time and effort. DESCRIPTION: We developed an online resource search system called OReFiL to address these issues. We developed a crawler to gather all of the web pages whose URLs appear in MEDLINE abstracts and full-text papers on the BioMed Central open-access journals. The URLs were extracted using regular expressions and rules based on our heuristic knowledge. We then indexed the online resources to facilitate their retrieval and comparison by researchers. Because every online resource has at least one PubMed ID, we can easily acquire its summary with Medical Subject Headings (MeSH) terms and confirm its credibility through reference to the corresponding PubMed entry. In addition, because OReFiL automatically extracts URLs and updates the index, minimal time and effort is needed to maintain the system. CONCLUSION: We developed OReFiL, a search system for online life science resources, which is freely available. The system's distinctive features include the ability to return up-to-date query-relevant online resources introduced in peer-reviewed papers; the ability to search using free words, MeSH terms, or author names; easy verification of each hit following links to the corresponding PubMed entry or to papers citing the URL through the search systems of BioMed Central, Scirus, HighWire Press, or Google Scholar; and quick confirmation of the existence of an online resource web page. BioMed Central 2007-08-06 /pmc/articles/PMC1976328/ /pubmed/17683589 http://dx.doi.org/10.1186/1471-2105-8-287 Text en Copyright © 2007 Yamamoto and Takagi; 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 Database
Yamamoto, Yasunori
Takagi, Toshihisa
OReFiL: an online resource finder for life sciences
title OReFiL: an online resource finder for life sciences
title_full OReFiL: an online resource finder for life sciences
title_fullStr OReFiL: an online resource finder for life sciences
title_full_unstemmed OReFiL: an online resource finder for life sciences
title_short OReFiL: an online resource finder for life sciences
title_sort orefil: an online resource finder for life sciences
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1976328/
https://www.ncbi.nlm.nih.gov/pubmed/17683589
http://dx.doi.org/10.1186/1471-2105-8-287
work_keys_str_mv AT yamamotoyasunori orefilanonlineresourcefinderforlifesciences
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