botXminer: mining biomedical literature with a new web-based application

This paper outlines botXminer, a publicly available application to search XML-formatted MEDLINE(®) data in a complete, object-relational schema implemented in Oracle(®) XML DB. An advantage offered by botXminer is that it can generate quantitative results with certain queries that are not feasible t...

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Detalles Bibliográficos
Autores principales: Mudunuri, Uma, Stephens, Robert, Bruining, David, Liu, David, Lebeda, Frank J.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538892/
https://www.ncbi.nlm.nih.gov/pubmed/16845112
http://dx.doi.org/10.1093/nar/gkl194
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author Mudunuri, Uma
Stephens, Robert
Bruining, David
Liu, David
Lebeda, Frank J.
author_facet Mudunuri, Uma
Stephens, Robert
Bruining, David
Liu, David
Lebeda, Frank J.
author_sort Mudunuri, Uma
collection PubMed
description This paper outlines botXminer, a publicly available application to search XML-formatted MEDLINE(®) data in a complete, object-relational schema implemented in Oracle(®) XML DB. An advantage offered by botXminer is that it can generate quantitative results with certain queries that are not feasible through the Entrez-PubMed(®) interface. After retrieving citations associated with user-supplied search terms, MEDLINE fields (title, abstract, journal, MeSH(®) and chemical) and terms (MeSH qualifiers and descriptors, keywords, author, gene symbol and chemical), these citations are grouped and displayed as tabulated or graphic results. This work represents an extension of previous research for integrating these citations with relational systems. botXminer has a user-friendly, intuitive interface that can be freely accessed at .
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spelling pubmed-15388922006-08-18 botXminer: mining biomedical literature with a new web-based application Mudunuri, Uma Stephens, Robert Bruining, David Liu, David Lebeda, Frank J. Nucleic Acids Res Article This paper outlines botXminer, a publicly available application to search XML-formatted MEDLINE(®) data in a complete, object-relational schema implemented in Oracle(®) XML DB. An advantage offered by botXminer is that it can generate quantitative results with certain queries that are not feasible through the Entrez-PubMed(®) interface. After retrieving citations associated with user-supplied search terms, MEDLINE fields (title, abstract, journal, MeSH(®) and chemical) and terms (MeSH qualifiers and descriptors, keywords, author, gene symbol and chemical), these citations are grouped and displayed as tabulated or graphic results. This work represents an extension of previous research for integrating these citations with relational systems. botXminer has a user-friendly, intuitive interface that can be freely accessed at . Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538892/ /pubmed/16845112 http://dx.doi.org/10.1093/nar/gkl194 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
Mudunuri, Uma
Stephens, Robert
Bruining, David
Liu, David
Lebeda, Frank J.
botXminer: mining biomedical literature with a new web-based application
title botXminer: mining biomedical literature with a new web-based application
title_full botXminer: mining biomedical literature with a new web-based application
title_fullStr botXminer: mining biomedical literature with a new web-based application
title_full_unstemmed botXminer: mining biomedical literature with a new web-based application
title_short botXminer: mining biomedical literature with a new web-based application
title_sort botxminer: mining biomedical literature with a new web-based application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538892/
https://www.ncbi.nlm.nih.gov/pubmed/16845112
http://dx.doi.org/10.1093/nar/gkl194
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AT liudavid botxminerminingbiomedicalliteraturewithanewwebbasedapplication
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