title: Datgan, a reusable software system for facile interrogation and visualization of complex transcription profiling data.
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.
  
  
  METHODS
  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).
  
  
  CONCLUSIONS
  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.
authors.affiliation: The Howard Hughes Medical Institute, Bar Harbor, Maine, USA.
authors.forename: Gareth R
authors.initials: GR
authors.lastname: Howell
authors.forename: David O
authors.initials: DO
authors.lastname: Walton
authors.forename: Benjamin L
authors.initials: BL
authors.lastname: King
authors.forename: Richard T
authors.initials: RT
authors.lastname: Libby
authors.forename: Simon W M
authors.initials: SW
authors.lastname: John
mesh_terms: D000818:Animals; D019295:Computational Biology; D003196:Computer Graphics; D057225:Data Mining; D016208:Databases, Factual; D020869:Gene Expression Profiling / Q000379:methods*; D005901:Glaucoma / Q000235:genetics; D006801:Humans; D051379:Mice; D011381:Programming Languages; D017423:Sequence Analysis, RNA; D012984:Software; D014409:Tumor Necrosis Factor-alpha / Q000235:genetics
chemical_list: D014409:Tumor Necrosis Factor-alpha