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Datgan, a reusable software system for facile interrogation and visualization of complex transcription profiling data.
Howell, Gareth R; Walton, David O; King, Benjamin L; Libby, Richard T; John, Simon W M.
Afiliación
  • Howell GR; The Howard Hughes Medical Institute, Bar Harbor, Maine, USA.
BMC Genomics ; 12: 429, 2011 Aug 24.
Article en En | MEDLINE | ID: mdl-21864367
ABSTRACT

BACKGROUND:

We introduce Glaucoma Discovery Platform (GDP), an online environment for facile visualization and interrogation of complex transcription profiling datasets for glaucoma. We also report the availability of Datgan, the suite of scripts that was developed to construct GDP. This reusable software system complements existing repositories such as NCBI GEO or EBI ArrayExpress as it allows the construction of searchable databases to maximize understanding of user-selected transcription profiling datasets. DESCRIPTION Datgan scripts were used to construct both the underlying data tables and the web interface that form GDP. GDP is populated using data from a mouse model of glaucoma. The data was generated using the DBA/2J strain, a widely used mouse model of glaucoma. The DBA/2J-Gpnmb+ strain provided a genetically matched control strain that does not develop glaucoma. We separately assessed both the retina and the optic nerve head, important tissues in glaucoma. We used hierarchical clustering to identify early molecular stages of glaucoma that could not be identified using morphological assessment of disease. GDP has two components. First, an interactive search and retrieve component provides the ability to assess gene(s) of interest in all identified stages of disease in both the retina and optic nerve head. The output is returned in graphical and tabular format with statistically significant differences highlighted for easy visual analysis. Second, a bulk download component allows lists of differentially expressed genes to be retrieved as a series of files compatible with Excel. To facilitate access to additional information available for genes of interest, GDP is linked to selected external resources including Mouse Genome Informatics and Online Medelian Inheritance in Man (OMIM).

CONCLUSION:

Datgan-constructed databases allow user-friendly access to datasets that involve temporally ordered stages of disease or developmental stages. Datgan and GDP are available from http//glaucomadb.jax.org/glaucoma.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Gráficos por Computador / Programas Informáticos / Bases de Datos Factuales / Biología Computacional / Perfilación de la Expresión Génica Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Gráficos por Computador / Programas Informáticos / Bases de Datos Factuales / Biología Computacional / Perfilación de la Expresión Génica Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos