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SWS: accessing SRS sites contents through Web Services

BACKGROUND: Web Services and Workflow Management Systems can support creation and deployment of network systems, able to automate data analysis and retrieval processes in biomedical research. Web Services have been implemented at bioinformatics centres and workflow systems have been proposed for bio...

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Detalles Bibliográficos
Autores principales: Romano, Paolo, Marra, Domenico
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323664/
https://www.ncbi.nlm.nih.gov/pubmed/18387203
http://dx.doi.org/10.1186/1471-2105-9-S2-S15
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author Romano, Paolo
Marra, Domenico
author_facet Romano, Paolo
Marra, Domenico
author_sort Romano, Paolo
collection PubMed
description BACKGROUND: Web Services and Workflow Management Systems can support creation and deployment of network systems, able to automate data analysis and retrieval processes in biomedical research. Web Services have been implemented at bioinformatics centres and workflow systems have been proposed for biological data analysis. New databanks are often developed by taking into account these technologies, but many existing databases do not allow a programmatic access. Only a fraction of available databanks can thus be queried through programmatic interfaces. SRS is a well know indexing and search engine for biomedical databanks offering public access to many databanks and analysis tools. Unfortunately, these data are not easily and efficiently accessible through Web Services. RESULTS: We have developed ‘SRS by WS’ (SWS), a tool that makes information available in SRS sites accessible through Web Services. Information on known sites is maintained in a database, srsdb. SWS consists in a suite of WS that can query both srsdb, for information on sites and databases, and SRS sites. SWS returns results in a text-only format and can be accessed through a WSDL compliant client. SWS enables interoperability between workflow systems and SRS implementations, by also managing access to alternative sites, in order to cope with network and maintenance problems, and selecting the most up-to-date among available systems. CONCLUSIONS: Development and implementation of Web Services, allowing to make a programmatic access to an exhaustive set of biomedical databases can significantly improve automation of in-silico analysis. SWS supports this activity by making biological databanks that are managed in public SRS sites available through a programmatic interface.
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spelling pubmed-23236642008-04-22 SWS: accessing SRS sites contents through Web Services Romano, Paolo Marra, Domenico BMC Bioinformatics Research BACKGROUND: Web Services and Workflow Management Systems can support creation and deployment of network systems, able to automate data analysis and retrieval processes in biomedical research. Web Services have been implemented at bioinformatics centres and workflow systems have been proposed for biological data analysis. New databanks are often developed by taking into account these technologies, but many existing databases do not allow a programmatic access. Only a fraction of available databanks can thus be queried through programmatic interfaces. SRS is a well know indexing and search engine for biomedical databanks offering public access to many databanks and analysis tools. Unfortunately, these data are not easily and efficiently accessible through Web Services. RESULTS: We have developed ‘SRS by WS’ (SWS), a tool that makes information available in SRS sites accessible through Web Services. Information on known sites is maintained in a database, srsdb. SWS consists in a suite of WS that can query both srsdb, for information on sites and databases, and SRS sites. SWS returns results in a text-only format and can be accessed through a WSDL compliant client. SWS enables interoperability between workflow systems and SRS implementations, by also managing access to alternative sites, in order to cope with network and maintenance problems, and selecting the most up-to-date among available systems. CONCLUSIONS: Development and implementation of Web Services, allowing to make a programmatic access to an exhaustive set of biomedical databases can significantly improve automation of in-silico analysis. SWS supports this activity by making biological databanks that are managed in public SRS sites available through a programmatic interface. BioMed Central 2008-03-26 /pmc/articles/PMC2323664/ /pubmed/18387203 http://dx.doi.org/10.1186/1471-2105-9-S2-S15 Text en Copyright © 2008 Romano and Marra; 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
Romano, Paolo
Marra, Domenico
SWS: accessing SRS sites contents through Web Services
title SWS: accessing SRS sites contents through Web Services
title_full SWS: accessing SRS sites contents through Web Services
title_fullStr SWS: accessing SRS sites contents through Web Services
title_full_unstemmed SWS: accessing SRS sites contents through Web Services
title_short SWS: accessing SRS sites contents through Web Services
title_sort sws: accessing srs sites contents through web services
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323664/
https://www.ncbi.nlm.nih.gov/pubmed/18387203
http://dx.doi.org/10.1186/1471-2105-9-S2-S15
work_keys_str_mv AT romanopaolo swsaccessingsrssitescontentsthroughwebservices
AT marradomenico swsaccessingsrssitescontentsthroughwebservices