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. 2005 Jul 25;6:102. doi: 10.1186/1471-2164-6-102

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Copyright © 2005 Rachlin et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Coverage vs. target multiplex level using two different best-fit tube assignment strategies. These results were all based on N = 1,200 for varying target multiplexing level M. In each trial, the number of allowed tubes is limited to . Full-tube coverage, the percentage of SNPs assigned to full tubes, of close to 80% is achieved at a multiplexing level of 20, though it drops rapidly for higher multiplexing levels. The graph shows a significant improvement in one algorithm over the other, demonstrating that such tradeoffs can be used to effectively compare and contrast competing optimization strategies.

Inline graphic — Coverage vs. target multiplex level using two different best-fit tube assignment strategies. These results were all based on N = 1,200 for varying target multiplexing level M. In each trial, the number of allowed tubes is limited to . Full-tube coverage, the percentage of SNPs assigned to full tubes, of close to 80% is achieved at a multiplexing level of 20, though it drops rapidly for higher multiplexing levels. The graph shows a significant improvement in one algorithm over the other, demonstrating that such tradeoffs can be used to effectively compare and contrast competing optimization strategies.