DocumentCode
2266861
Title
ArrayWiki: liberating microarray data from non-collaborative public repositories
Author
Stokes, Todd H. ; Torrance, J.T. ; Le Goasduff, N. ; Li, Henry ; Wang, May D.
Author_Institution
Georgia Inst. of Technol., Atlanta
fYear
2007
fDate
13-15 Aug. 2007
Firstpage
92
Lastpage
99
Abstract
A survey of microarray repositories reveals that their contents and data models are heterogeneous, and that repositories developed for different communities have become "silo-ed" over time. A community maintained resource, ArrayWiki, resolves these problems by uniting disparate meta-data that are difficult for users to find. This resource provides users with simple text-based searches across all experiment metadata, and exposes data to search engine crawlers (Semantic Agents) such as Google to further enhance data discovery. In addition, automated quality control processes provide extra information about data quality not available in other microarray resources. The data in this resource are open to community contribution, comment, and modification and are distributed and visualized using a novel, compact data storage format, BioPNG. ArrayWiki is available at http://www.bio-miblab.org/arraywiki.
Keywords
data models; medical information systems; meta data; search engines; ArrayWiki; automated quality control; data discovery; data model; data quality; metadata; microarray repository; noncollaborative public repositories; search engine crawler; semantic agents; text-based search; Biomedical computing; Biomedical engineering; Data analysis; Databases; Gene expression; Humans; Power engineering computing; Probes; Quality control; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Computational Sciences, 2007. IMSCCS 2007. Second International Multi-Symposiums on
Conference_Location
Iowa City, IA
Print_ISBN
978-0-7695-3039-0
Type
conf
DOI
10.1109/IMSCCS.2007.88
Filename
4392585
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