YMD: a microarray database for large-scale gene expression analysis

نویسندگان

  • Kei-Hoi Cheung
  • Kevin P. White
  • Janet Hager
  • Mark Gerstein
  • Valerie Reinke
  • Kenneth Nelson
  • Peter Masiar
  • Ranjana Srivastava
  • Yuli Li
  • Ju Li
  • Hongyu Zhao
  • Jinming Li
  • David B. Allison
  • Michael Snyder
  • Perry L. Miller
  • Kenneth R. Williams
چکیده

The use of microarray technology to perform parallel analysis of the expression pattern of a large number of genes in a single experiment has created a new frontier of medical research. The vast amount of gene expression data generated from multiple microarray experiments requires a robust database system that allows efficient data storage, retrieval, secure access, data dissemination, and integrated data analyses. To address the growing needs of microarray researchers at Yale and their collaborators, we have built the Yale Microarray Database (YMD). YMD is Web-accessible with the following features: (i) a Web program that tracks DNA samples between source plates and arrays, (ii) the capability of finding common genes/clones across different array platforms, (iii) an image file server, (iv) laboratory-based user management and access privileges, (v) project management, (vi) template data entry, (vii) linking gene expression data to annotation databases for functional analysis. YMD is currently being used on a pilot basis by several laboratories for different organisms and array platforms.

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عنوان ژورنال:
  • Proceedings. AMIA Symposium

دوره   شماره 

صفحات  -

تاریخ انتشار 2002