Sentence examples for alignment methodologies from inspiring English sources

Yet, in both studies [13, 14], it was shown that the use of reference shapes may provide promise to dramatically improve the throughput of shape-based alignment methodologies.

The sensitivity of fibroblast guidance on directional cues provided by aligned nanofibers is studied for scaffolds of successively smaller fiber sizes (740 ± 280, 245 ± 85, 140 ± 40, and 80 ± 10 nm) fabricated using mandrel and electrical alignment methodologies for electrospun nanofibers (∼10° angular deviation (AD)), as well as nanoimprint methodologies for perfectly aligned fibers (0° AD).

Hence, we compared six MSA methods, which employ widely different alignment methodologies and have been shown to perform well and/or are commonly used (Table 2).

However, Agrp genomic sequences from distantly related vertebrate species have diverged to the extent that regional conservation is no longer detectable using traditional alignment methodologies [9].

Genes without COG identifications were assigned to the most probable COG identification and functional description through functional comparison and sequence alignment methodologies [ 19].

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.

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.

Central to the CYNTENATOR algorithm is the progressive alignment methodology, which scales to dozens of vertebrate genomes.

We combine the analysis of sequence saturation with recent advances in multiple profile-to-profile alignment methodology.

Our effort accounts for one category of potential biases between data sets (differences in alignment methodology and data filtering), but other potential concerns should still be recognized.