Related Experiment Videos
Construction of optimal quality control for oligo arrays
Charles J Colbourn1, Alan C H Ling, Martin Tompa
1Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287-5406, USA.
Bioinformatics (Oxford, England)
|May 23, 2002
Abstract
Motivation:
Oligo arrays are important experimental tools for the high throughput measurement of gene expression levels. During production of oligo arrays, it is important to identify any faulty manufacturing step.
Results:
We describe a practical algorithm for the construction of optimal quality control designs that identify any faulty manufacturing step. The algorithm uses hillclimbing, a search technique from combinatorial optimization. We also present the results of using this algorithm on all practical quality control design sizes.
Availability:
On request from the authors.