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1.
Nucleic Acids Res ; 34(Database issue): D540-5, 2006 Jan 01.
Artículo en Inglés | MEDLINE | ID: mdl-16381928

RESUMEN

EndoNet is a new database that provides information about the components of endocrine networks and their relations. It focuses on the endocrine cell-to-cell communication and enables the analysis of intercellular regulatory pathways in humans. In the EndoNet data model, two classes of components span a bipartite directed graph. One class represents the hormones (in the broadest sense) secreted by defined donor cells. The other class consists of the acceptor or target cells expressing the corresponding hormone receptors. The identity and anatomical environment of cell types, tissues and organs is defined through references to the CYTOMER ontology. With the EndoNet user interface, it is possible to query the database for hormones, receptors or tissues and to combine several items from different search rounds in one complex result set, from which a network can be reconstructed and visualized. For each entity, a detailed characteristics page is available. Some well-established endocrine pathways are offered as showcases in the form of predefined result sets. These sets can be used as a starting point for a more complex query or for obtaining a quick overview. The EndoNet database is accessible at http://endonet.bioinf.med.uni-goettingen.de/.


Asunto(s)
Comunicación Celular , Bases de Datos Genéticas , Sistema Endocrino/fisiología , Gráficos por Computador , Sistema Endocrino/citología , Hormonas/fisiología , Humanos , Internet , Modelos Biológicos , Receptores de Superficie Celular/fisiología , Receptores Citoplasmáticos y Nucleares/fisiología , Interfaz Usuario-Computador
2.
Nucleic Acids Res ; 34(Database issue): D546-51, 2006 Jan 01.
Artículo en Inglés | MEDLINE | ID: mdl-16381929

RESUMEN

TRANSPATH is a database about signal transduction events. It provides information about signaling molecules, their reactions and the pathways these reactions constitute. The representation of signaling molecules is organized in a number of orthogonal hierarchies reflecting the classification of the molecules, their species-specific or generic features, and their post-translational modifications. Reactions are similarly hierarchically organized in a three-layer architecture, differentiating between reactions that are evidenced by individual publications, generalizations of these reactions to construct species-independent 'reference pathways' and the 'semantic projections' of these pathways. A number of search and browse options allow easy access to the database contents, which can be visualized with the tool PathwayBuildertrade mark. The module PathoSign adds data about pathologically relevant mutations in signaling components, including their genotypes and phenotypes. TRANSPATH and PathoSign can be used as encyclopaedia, in the educational process, for vizualization and modeling of signal transduction networks and for the analysis of gene expression data. TRANSPATH Public 6.0 is freely accessible for users from non-profit organizations under http://www.gene-regulation.com/pub/databases.html.


Asunto(s)
Bases de Datos Genéticas , Enfermedades Genéticas Congénitas/genética , Transducción de Señal , Gráficos por Computador , Genotipo , Humanos , Internet , Mutación , Fenotipo , Procesamiento Proteico-Postraduccional , Transducción de Señal/genética , Interfaz Usuario-Computador
3.
BMC Bioinformatics ; 7: 490, 2006 Nov 06.
Artículo en Inglés | MEDLINE | ID: mdl-17087823

RESUMEN

BACKGROUND: Today, there is a growing need in bioinformatics to combine available software tools into chains, thus building complex applications from existing single-task tools. To create such workflows, the tools involved have to be able to work with each other's data--therefore, a common set of well-defined data formats is needed. Unfortunately, current bioinformatic tools use a great variety of heterogeneous formats. RESULTS: Acknowledging the need for common formats, the Helmholtz Open BioInformatics Technology network (HOBIT) identified several basic data types used in bioinformatics and developed appropriate format descriptions, formally defined by XML schemas, and incorporated them in a Java library (BioDOM). These schemas currently cover sequence, sequence alignment, RNA secondary structure and RNA secondary structure alignment formats in a form that is independent of any specific program, thus enabling seamless interoperation of different tools. All XML formats are available at http://bioschemas.sourceforge.net, the BioDOM library can be obtained at http://biodom.sourceforge.net. CONCLUSION: The HOBIT XML schemas and the BioDOM library simplify adding XML support to newly created and existing bioinformatic tools, enabling these tools to interoperate seamlessly in workflow scenarios.


Asunto(s)
Biología Computacional/métodos , Algoritmos , Gráficos por Computador , Sistemas de Administración de Bases de Datos , Almacenamiento y Recuperación de la Información , Lenguajes de Programación , Alineación de Secuencia , Programas Informáticos , Integración de Sistemas , Interfaz Usuario-Computador
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