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PosMed-plus: an intelligent search engine that inferentially integrates cross-species information resources for molecular breeding of plants.
Makita, Yuko; Kobayashi, Norio; Mochizuki, Yoshiki; Yoshida, Yuko; Asano, Satomi; Heida, Naohiko; Deshpande, Mrinalini; Bhatia, Rinki; Matsushima, Akihiro; Ishii, Manabu; Kawaguchi, Shuji; Iida, Kei; Hanada, Kosuke; Kuromori, Takashi; Seki, Motoaki; Shinozaki, Kazuo; Toyoda, Tetsuro.
Afiliación
  • Makita Y; Bioinformatics And Systems Engineering (BASE) division, RIKEN, Yokohama, Kanagawa, Japan.
Plant Cell Physiol ; 50(7): 1249-59, 2009 Jul.
Article en En | MEDLINE | ID: mdl-19528193
Molecular breeding of crops is an efficient way to upgrade plant functions useful to mankind. A key step is forward genetics or positional cloning to identify the genes that confer useful functions. In order to accelerate the whole research process, we have developed an integrated database system powered by an intelligent data-retrieval engine termed PosMed-plus (Positional Medline for plant upgrading science), allowing us to prioritize highly promising candidate genes in a given chromosomal interval(s) of Arabidopsis thaliana and rice, Oryza sativa. By inferentially integrating cross-species information resources including genomes, transcriptomes, proteomes, localizomes, phenomes and literature, the system compares a user's query, such as phenotypic or functional keywords, with the literature associated with the relevant genes located within the interval. By utilizing orthologous and paralogous correspondences, PosMed-plus efficiently integrates cross-species information to facilitate the ranking of rice candidate genes based on evidence from other model species such as Arabidopsis. PosMed-plus is a plant science version of the PosMed system widely used by mammalian researchers, and provides both a powerful integrative search function and a rich integrative display of the integrated databases. PosMed-plus is the first cross-species integrated database that inferentially prioritizes candidate genes for forward genetics approaches in plant science, and will be expanded for wider use in plant upgrading in many species.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oryza / Sistemas de Administración de Bases de Datos / Arabidopsis / Biología Computacional Idioma: En Revista: Plant Cell Physiol Asunto de la revista: BOTANICA Año: 2009 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Japón
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oryza / Sistemas de Administración de Bases de Datos / Arabidopsis / Biología Computacional Idioma: En Revista: Plant Cell Physiol Asunto de la revista: BOTANICA Año: 2009 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Japón