The phrase "aligning score" is correct and usable in written English.
It can be used in contexts where you are discussing the process of adjusting or coordinating scores, such as in assessments, evaluations, or data analysis.
Example: "The team is currently focusing on aligning score metrics to ensure consistency across all evaluations."
Alternatives: "adjusting score" or "coordinating score".
Call a pair (A, F), where A is an alignment of an SAF instance S and F is a folding of A, an alignment with folding of S. Define the score of an alignment with folding (A, F) to be s c o r e (A, F ) = ∑ 0 ≤ r < | A | ρ (A r ) + ∑ a ∙ b ∈ F τ (A a, A b ) Here, ρ is a column aligning score function, and τ is a column-pair aligning score function.
The alignment score for each species' eBLAT alignments shows the total number of aligning bases in the input reference DNA.
The second strategy is to filter out mouse-like reads before mapping to the human reference, by first aligning all sequencing reads to the mouse reference and discarding those with a high alignment score.
To assess the efficacy of eBLAT alignments in comparison to the original BLAT, we compared the pairwise alignment scores (the total number of aligning bases in the input DNA) of eBLAT to those obtained with BLAT, using 10 different intergenic regions from the Drosophila melanogaster genome.
Results: We present a local RNA structural alignment algorithm, trCYK, for aligning and scoring incomplete sequences under a model using primary sequence conservation and secondary structure information when possible.
The whole-genome sequence (WGS) data for each isolate was aligned to the most recent version of the C. immitis RS3 strain sequence (AAEC02000000) (6 ) by using the software program BFAST (7 ) with the following exclusion criteria: 1) indel-containing reads; 2) reads aligning to multiple locations; and 3) reads with mapping and alignment scores <20 and <100, respectively.
TGICL incorporates mdust for low complexity filtering, and megablast [ 32] for aligning and scoring sequences.
The algorithm also generates eBLATs for the second and third highest score aligning regions for each of the selected genomes.
We need to specify how to score aligning P i to \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $P^_{j}$\end{documentt} P j + and how to score leaving a peak unaligned (i.e., a gap).
Once a change in reference DNA is requested (at the additional alignment options page [ 8]), the alignment process is automatically reinitiated using the highest scoring aligning region of the selected genome as the new input reference DNA. Figure 5 highlights the genome-specific variability of less-conserved sequences between vertebrate MCS regions.
This is appropriate for aligning flowgrams because scores of dissimilar flowgrams are not needed in the clustering.
