Multiple oligo nucleotide arrays: Methods to reduce manufacture time and cost

TL;DR

This paper presents new heuristic and streamlined methods to significantly reduce the manufacturing time and costs of customized multiple oligonucleotide arrays used in microarray experiments.

Contribution

It introduces a heuristic algorithm for mask decomposition and a higher-level streamline method to optimize the manufacturing process.

Findings

Methods effectively reduce manufacturing time.

Methods significantly cut production costs.

Experiments confirm improved efficiency.

Abstract

The customized multiple arrays are becoming vastly used in microarray experiments for varies purposes, mainly for its ability to handle a large quantity of data and output high quality results. However, experimenters who use customized multiple arrays still face many problems, such as the cost and time to manufacture the masks, and the cost for production of the multiple arrays by costly machines. Although there is some research on the multiple arrays, there is little concern on the manufacture time and cost, which is actually important to experimenters. In this paper, we have proposed methods to reduce the time and cost for the manufacture of the customized multiple arrays. We have first introduced a heuristic algorithm for the mask decomposition problem for multiple arrays. Then a streamline method is proposed for the integration of different steps of manufacture on a higher level. Experiments show that our methods are very effective in reduction of the time and cost of manufacture of multiple arrays.