title: The XBabelPhish MAGE-ML and XML translator.
abstract: BACKGROUND
  MAGE-ML has been promoted as a standard format for describing microarray experiments and the data they produce. Two characteristics of the MAGE-ML format compromise its use as a universal standard: First, MAGE-ML files are exceptionally large - too large to be easily read by most people, and often too large to be read by most software programs. Second, the MAGE-ML standard permits many ways of representing the same information. As a result, different producers of MAGE-ML create different documents describing the same experiment and its data. Recognizing all the variants is an unwieldy software engineering task, resulting in software packages that can read and process MAGE-ML from some, but not all producers. This Tower of MAGE-ML Babel bars the unencumbered exchange of microarray experiment descriptions couched in MAGE-ML.
  
  
  RESULTS
  We have developed XBabelPhish - an XQuery-based technology for translating one MAGE-ML variant into another. XBabelPhish's use is not restricted to translating MAGE-ML documents. It can transform XML files independent of their DTD, XML schema, or semantic content. Moreover, it is designed to work on very large (> 200 Mb.) files, which are common in the world of MAGE-ML.
  
  
  CONCLUSIONS
  XBabelPhish provides a way to inter-translate MAGE-ML variants for improved interchange of microarray experiment information. More generally, it can be used to transform most XML files, including very large ones that exceed the capacity of most XML tools.
authors.affiliation: Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA. dMaier@genome.stanford.edu
authors.forename: Don
authors.initials: D
authors.lastname: Maier
authors.forename: Farrell
authors.initials: F
authors.lastname: Wymore
authors.forename: Gavin
authors.initials: G
authors.lastname: Sherlock
authors.forename: Catherine A
authors.initials: CA
authors.lastname: Ball
mesh_terms: D000818:Animals; D003628:Database Management Systems; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D019146:Hypermedia; D016247:Information Storage and Retrieval / Q000379:methods; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D018511:Systems Integration; D014584:User-Computer Interface; D014941:Work Simplification