System Maintenance:
There may be intermittent impact on performance while updates are in progress. We apologize for the inconvenience.
By Topic

A flexible pipeline for experimental design, processing, and analysis of microarray data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Osborn, S. ; PPD Discovery, Menlo Park, CA, USA ; Kennedy, S. ; Chin, D.

We created a web-based microarray data analysis pipeline for managing the volumes of data created by production microarray experiments. Experiments are formalized by grouping array data into hierarchies based on types such as 'dye swap' or 'replicate'. Grouping determines the analysis to be performed and enables the tool to automatically generate reports and charts appropriate to the experiment results. Subsets of data across arrays may also be hierarchically grouped into types such as 'gene' or 'list'. The group hierarchy is similar to a document object model (DOM), which enables queries to be posed in an XPath or XQuery language. Analyzer modules provide the complicated statistical processing and may be custom written or implemented as wrappers around existing tools. For speculative data analysis or publication, the results may be exported to a standard format.

Published in:

Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE

Date of Conference:

11-14 Aug. 2003