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By analogy to sequence alignment, this problem is called PPI network alignment.
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Increasing read depth to 30 million reads and increasing stringency of filtering to require a minimum of 10 unique allelic alignments reduces this problem, arguing against widespread mappability artifacts.
The biggest challenge in aligning mRNA reads is that these often span splice junctions and a specific alignment method for this problem is required.
In order to avoid this alignment problem, we propose an alignment based on an alphabet composed of three letters (ACT or AGT) instead of a four-letter alphabet (ACGT).
Redelings & Suchard [ 87] proposed an algorithm for simultaneously estimating alignment and phylogeny, taking into account alignment uncertainty that circumvents this problem in a Bayesian frame.
Thus, there is no requirement to select, a priori, a subset of genomes that is suspected of harboring informative relationships, as is the case when utilizing whole genome alignment software to approach this problem.
This alignment problem is predominantly present when using a semi non-structured prismatic grid to solve the flow equations.
One solution to this alignment problem was to redefine professional roles in health care and introduce a new professional: the physician assistant (PA) [ 2].
Fine-tuning of read alignment algorithms does not correct this problem.
A customized external strap orthosis for correcting leg alignment was used to resolve this problem.
To address this problem, nonlinear alignment estimation was performed using FSL's nonlinear registration algorithm [FNIRT, Andersson et al., 2007].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com