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Table 4 Effect of population profile.

From: Ensemble analysis of adaptive compressed genome sequencing strategies

p/5

Genome size (Mbps)

E[t] (Gbps)

P = (q000, q100, q010, q110, q001, q101, q011, q111)

(3, 2, 3)

(4, 12, 2)

1.066

(0, 0, 0, 0.0062, 0, 0, 0, 0.9938)

   

P =(q0000, q1000, q0100, q1100, q0010, q1010, q0110, q1110, q0001, q1001, q0101, q1101, q0011, q1011, q0111, q1111 )

(1, 1, 1, 5)

(4, 12, 2, 1)

1.383

(0, 0, 0, 0, 0, 0, 0, 0.0020, 0, 0, 0, 0.0271, 0, 0, 0, 0.9709)

(1, 1, 2, 4)

(4, 12, 2, 1)

1.407

(0, 0, 0, 0, 0, 0, 0, 0.0123, 0, 0, 0, 0.0001, 0, 0, 0, 0.9876)

(1, 2, 3, 2)

(4, 12, 2, 1)

1.535

(0, 0, 0, ∈, 0, 0, 0, 0.1687, 0, 0, 0, 0.0135, 0, 0, 0, 0.8179)

  1. In this setup τ = 0.2 and the total number of cells is n = 40. qI for I ∈ {0, 1}s is the joint probability of capturing distinct genome j if I j = 1 and missing it if I j = 0 for j = 1, 2, . . . , s. Different values of I are explicitly given as binary strings in the fourth column. ∈ is a non-zero probability less than 10−4 .
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BMC Bioinformatics

ISSN: 1471-2105

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