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This small example is meant to support the definition of different variants of coverage metric.
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To solve the resource-constrained coverage problem, we provide two variants of sparse coverage which take into consideration budget constraints and quality constraints, respectively.
It is not meant to show the relative costs of the different variants of structural coverage metric.
We then excluded variants having depth of coverage below 20×.
Although this approach provides valuable information about the spectrum of mRNA in specific tissues, including information concerning the expression of splicing variants, the depth of coverage is usually not sufficient to obtain accurate AEI ratios.
In Section 4 we present coverage preservation criteria for the different variants of structural code coverage.
Key sources of non-uniformity are variance in depth of coverage, artifactual variants resulting from repetitive regions and larger structural variants.
In the following we present coverage preservation criteria for several variants of structural code-coverage metrics.
However, the detection of larger structural variants based on depth-of-coverage (DOC) [ 19] or paired-end mapping (PEM) [ 20, 21] methods could not reduce the SV size and localization resolution to the one base pair level.
The authors of [4] proposed a MapReduce solution based on a parallel implementation of FP-growth [30], modified to extract CARs, followed by two pruning phases that are slight variants of the database coverage and the above-mentioned rule pruning.
One of the metrics commonly used to filter variants is the depth of coverage.
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