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Resolution: standard / high Figure 2.
Schematic diagram of cnvHiTSeq model. (a) State diagram of the haploid HMM used by cnvHiTSeq. Vertices represent haploid copy
number states (0, red; 1, gray; and 2, green) and edges represent transitions from
one state to another. The thickness of the edges is proportional to the transition
probabilities of the model. More haploid states can be used to model higher copy numbers.
(b) By pairing two haploid copy number states cnvHiTSeq derives the final diploid model
(0, dark red; 1, red; 2, gray; 3, green; 4, dark green). (c) Each observed variable is modeled using a customized emission distribution. Here,
as an example, we present the emission distributions for read depth and read pair
distance conditional on the copy number state. Read depth is modeled using the negative
binomial distribution, while read pair distance is modeled using the normal distribution.
The color scheme corresponds to the diploid copy number states presented in (b). (d) The trained haploid HMM that corresponds to the homozygous deleted region on Figure
1a-c. The rows represent copy number states and the columns represent genomic location.
Positions are given in megabases (Mb). Bubble size corresponds to the probability
of assignment to each state at each position. The lines between bubbles indicate possible
transitions between states. The annotated positions indicate the start and the stop
of the CNV call. (e) The trained haploid HMM that corresponds to the heterozygous duplicated region on
Figure 1d-f.
Bellos et al. Genome Biology 2012 13:R120 doi:10.1186/gb-2012-13-12-r120 |