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Inspired by a recent technique developed to compare molecular shapes, we designed a hybrid methodology, alignment-recycling, that enables efficient retrieval and alignment of structures with similar 3D shapes.
Our methodology interprets alignment scores as values of a kernel that implicitly maps sequences to a feature space with a biologically motivated topology: it is built of modifications of that sequence using insertions, deletions and substitutions.
One alternative for increasing the specificity and sensibility of detecting true positives of remote homologous sequences is using three-dimensional (3D) methodologies of alignment and searching.
First, the reference sequences within each protein family were aligned using MUSCLE [ 87]; second, the nematode sequences of each family were aligned to their reference sequences using CLUSTALW [ 88], employing the profile alignment methodology [ 89].
The scaffold alignment methodology is hence highly significant, especially for tissue engineering applications requiring sub-100 nm aligned fibers.
Second, we provide a methodology, hierarchical metagrid alignment, to allow reliable and efficient batch processing for a set of microarray images.
This study attempts to develop an alternative methodology to evaluate alignment of non-coplanar side edge notches in tensile loaded specimens in presence of global plastic strains.
In addition, it does not require any prior parameter estimation; furthermore, a harmonic alignment methodology, presented in this paper, improves the quality of separated speech in a real room environment.
We have presented a registration methodology for accurate alignment between PET and histopathology slices that can be performed in routine pathology settings and that demonstrates an accuracy better than the spatial resolution of the PET scanner.
Central to the CYNTENATOR algorithm is the progressive alignment methodology, which scales to dozens of vertebrate genomes.
It is important to develop methodology for assessing alignment of published guidelines with current best evidence.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com