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Bioinformatics. 2002 Apr;18(4):529-35.

Construction of optimal quality control for oligo arrays.

Author information

1
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287-5406, USA.

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.

PMID:
12016050
[Indexed for MEDLINE]

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