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The active peaks are followed by the ghost peaks that belong to the virtual peak boundary.
Our virtual peak boundary is therefore more dynamic than our virtual mesh boundary.
By introducing a peak into the virtual peak boundary, it only obtains a local peak index.
In contrast to our usual virtual mesh boundary, the virtual peak boundary does not represent a fixed region in space.
Which peaks need to be present in the virtual peak boundary depends on the connectivity of peaks.
As the merging process advances, new connections appear and new peaks have to be introduced in the virtual peak boundary.
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These two new properties and the peak density are updated in the virtual peak boundaries using a scatter communication.
We now describe how information is transferred from the MPI task which hosts a peak (the 'owner' of that peak) into the virtual peak boundaries of other tasks and vice versa.
First, selecting only the maximally significant locus without consideration for adjacent significance in either the 5 or 3' direction may produce artificially small peak boundaries.
The directionality of the reads was utilized to refine the peak boundaries.
We showed for both the C/EBPA and H3K4me ChIP-Seq experiments that HATSEQ better delineates the peak boundaries.
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