Due to the nature of this method, the coverage of RRBS is limited to sections of the genome that are enriched with high-density CpGs, such as CpG islands (CGIs) and promoters17.
Under the optimization method, the coverage in an area increases when a new facility is added, and congestion in an area decreases when new capacity is added.
In other words, as the number of clusters per arm increases, the observed coverage approaches 95% for each method, The coverage of the robust method is within approximately 1.5% of 95%, The BS1 method is always outperformed by the other two methods.
With interval width and coverage probability as evaluation measures, our method achieves a more than three times lower interval width than other methods while the coverage probability can be still guaranteed.
Therefore, as mentioned in the Methods section, the coverage rates of the information systems used in the present study are absolutely acceptable.
Both methods reduces the coverage of the pig genome by the alignment.
Three samples were treated with both methods and the coverage results compared.
This paper presents a numerical method for the coverage interval determination of the output variable while knowing the probability density functions of two non-dependent input variables.
The combined method improves the coverage of experimentally verified complex datasets by nearly 200% compared to either sequence or function-based network alignment alone.
