Statements in which the resource exists.
SubjectPredicateObjectContext
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pubmed-article:18205924pubmed:abstractTextMAGE-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.lld:pubmed
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pubmed-article:18205924pubmed:authorpubmed-author:ManniJ JJJlld:pubmed
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pubmed-article:18205924pubmed:authorpubmed-author:SherlockGavin...lld:pubmed
pubmed-article:18205924pubmed:authorpubmed-author:WymoreFarrell...lld:pubmed
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pubmed-article:18205924pubmed:dateRevised2009-11-18lld:pubmed
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pubmed-article:18205924pubmed:articleTitleThe XBabelPhish MAGE-ML and XML translator.lld:pubmed
pubmed-article:18205924pubmed:affiliationDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA. dMaier@genome.stanford.edulld:pubmed
pubmed-article:18205924pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:18205924pubmed:publicationTypeResearch Support, N.I.H., Extramurallld:pubmed
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