title: Construction of optimal quality control for oligo arrays.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  On request from the authors.
authors.affiliation: Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287-5406, USA.
authors.forename: Charles J
authors.initials: CJ
authors.lastname: Colbourn
authors.forename: Alan C H
authors.initials: AC
authors.lastname: Ling
authors.forename: Martin
authors.initials: M
authors.lastname: Tompa
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004867:Equipment Design; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000295:instrumentation* / Q000592:standards*; D011786:Quality Control; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017422:Sequence Analysis, DNA / Q000379:methods*