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GeneCite: a stand-alone open source tool for high-throughput literature and pathway mining.
Hammamieh, Rasha; Chakraborty, Nabarun; Wang, Yan; Laing, Mark; Liu, Zaigang; Mulligan, John; Jett, Marti.
Afiliação
  • Hammamieh R; Walter Reed Army Institute of Research, Molecular Pathology, Silver Spring, Maryland 20910, USA.
OMICS ; 11(2): 143-51, 2007.
Article em En | MEDLINE | ID: mdl-17594234
ABSTRACT
Systematic extraction of relevant biological facts from available massive scientific knowledge source is emerging as a significant task for the science community. Its success depends on several key factors, including the precision of a given search, the time of its accomplishment, and the communicative prowess of the mined information to the users. GeneCite - a stand-alone Java-based high-throughput data mining tool - is designed to carry out these tasks for several important knowledge sources simultaneously, allowing the users to integrate the results and interpret biological significance in a time-efficient manner. GeneCite provides an integrated high-throughput search platform serving as an information retrieval (IR) tool for probing online literature database (PubMed) and the sequence-tagged sites' database (UniSTS), respectively. It also operates as a data retrieval (DR) tool to mine an archive of biological pathways integrated into the software itself. Furthermore, GeneCite supports a retrieved data management system (DMS) showcasing the final output in a spread-sheet format. Each cell of the output file holds a real-time connection (hyperlink) to the given online archive reachable at the users' convenience. The software is free and currently available online www.bioinformatics.org; www.wrair.army.mil/Resources.
Assuntos
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Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Armazenamento e Recuperação da Informação Idioma: En Ano de publicação: 2007 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Armazenamento e Recuperação da Informação Idioma: En Ano de publicação: 2007 Tipo de documento: Article