Construction of optimal quality control for oligo arrays

Charles Colbourn, Alan C H Ling, Martin Tompa

Research output: Contribution to journalArticle

7 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)529-535
Number of pages7
JournalBioinformatics
Volume18
Issue number4
DOIs
StatePublished - Jan 1 2002

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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