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. 2010 Aug 10;38(19):e179. doi: 10.1093/nar/gkq675

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© The Author(s) 2010. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 10. — versus N/2 sensing matrix. The effect of applying pools of or N/2 individuals (on average) for the case of . Overall, results are comparable, yet each pooling design is preferable for different settings of pools and loci. The sparse () design is more beneficial for large number of pools and longer target regions. The average coverage per individual on the right axis of each panel corresponds to the N/2 case. The coverage in the case is much larger since the total number of reads R is divided among a smaller number of individuals.

Inline graphic — versus N/2 sensing matrix. The effect of applying pools of or N/2 individuals (on average) for the case of . Overall, results are comparable, yet each pooling design is preferable for different settings of pools and loci. The sparse () design is more beneficial for large number of pools and longer target regions. The average coverage per individual on the right axis of each panel corresponds to the N/2 case. The coverage in the case is much larger since the total number of reads R is divided among a smaller number of individuals.