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AGML Central: web based gel proteomic infrastructure.
Stanislaus, Romesh; Chen, Chuming; Franklin, Jennifer; Arthur, John; Almeida, Jonas S.
Afiliação
  • Stanislaus R; Department of Biostatistics, Bioinformatics and Epidemiology, Charleston, SC 29425, USA. stanisrc@musc.edu
Bioinformatics ; 21(9): 1754-7, 2005 May 01.
Article em En | MEDLINE | ID: mdl-15647304
ABSTRACT

SUMMARY:

AGML Central is a web-based open-source public infrastructure for dissemination of two-dimensional Gel Electrophoresis (2-DE) proteomics data in AGML format (Annotated Gel Markup Language). It includes a growing collection of converters from proprietary formats such as those produced by PDQUEST (BioRad), PHORETIX 2-D (Nonlinear Dynamics) and Melanie (GenBio SA). The resulting unifying AGML formatted entry, with or without the raw gel images, is optionally stored in a database for future reference. AGML Central was developed to provide a common platform for data dissemination and development of 2-DE data analysis tools. This resource responds to an increasing use of AGML for 2-DE public source data representation which requires automated tools for conversion from proprietary formats. Conversion and short-term storage is made publicly available, permanent storage requires prior registering. A JAVA applet visualizer was developed to visualize the AGML data with cross-reference links. In order to facilitate automated access a SOAP web service is also included in the AGML Central infrastructure.

AVAILABILITY:

http//bioinformatics.musc.edu/agmlcentral.
Assuntos
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Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Interface Usuário-Computador / Eletroforese em Gel Bidimensional / Armazenamento e Recuperação da Informação / Internet / Proteoma / Bases de Dados de Proteínas Idioma: En Ano de publicação: 2005 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Interface Usuário-Computador / Eletroforese em Gel Bidimensional / Armazenamento e Recuperação da Informação / Internet / Proteoma / Bases de Dados de Proteínas Idioma: En Ano de publicação: 2005 Tipo de documento: Article