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Data Management

Fig. 1: Data Management
© dkfz.de

One of the major tasks in DNA-chip based experiments is to handle large data sets (i.e. expression profiling data, matrix CGH data). Ideally human intervention in the process of tracking, storing and analyzing this data is kept at a minimum to reduce error frequency.
As the production of microarrays is a multitstep process (fig. 1), a significant amount of data is generated even before any actual experiments have been conducted. Again, the management of data accumulating here is ideally taken care of in an automated system, a laboratory information management system (LIMS).

ChipYard ©

© dkfz.de

has been designed to integrate the data processing needs of a microarray facility in a concise framework that allows a substantial reduction of human intervention at steps where critical data handling occurs.
In specific it provides for the following:

  • an interface to a laboratory information management system, thus providing
  • access to a flexible result database for the storing, documentation and
  • a modular interface to statistical procedures for the analysis of data

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