Sentence examples for mean alignment score from inspiring English sources

The five quality related statistics used were the percentage of clusters passed filtering (%PF clusters), mean quality score (PF clusters), percentage of reads aligned, mean alignment score and percentage of alignment error, and had the following population means and standard deviations, respectively, 93.39 ± 1.85, 36.34 ± 0.5, 72.24 ± 3.0, 290.6 ± 15.13 and 0.98 ± 0.15.

Among inbred strain pairs, the mean alignment score [ 8] (fraction of markers with identical genotypes) was 0.495 (range: 0.215 – 0.999, Figure  1 and Additional file 7).

The mean alignment score for all pairwise comparisons among the 117 cell line samples was 0.501 (range: 0.116 – 1.0, Figure  1).

The distribution of alignment scores for comparisons between the outbred stocks and the inbred/wild mice (mean alignment score: 0.564, range: 0.204 – 0.953, Additional file 9) was similar to that among only the inbred/wild mice.

The edges shown in this figure represent a mean pairwise alignment score for all-by-all comparisons of these 4298 sequences that is better than an E-value cutoff of 1 × 10 80, with a median percent identity of 43% and a median alignment length of 377 residues.

If ϵ≤ LB q, d j ), it means d j has an alignment score which is definitely larger than ϵ.

The Z value is the number of standard deviations the raw alignment score is from the mean of the normal distribution of scores obtained by random permutations of the alignment columns.

Z-score indicates how many standard deviations the current alignment score differs from the average Z-score, calculated from all binding sites alignments over the entire PDB [19].

By contrast, iterative methods can return to previously calculated pairwise alignments or sub-MSAs incorporating subsets of the query sequence as a means of optimizing a general objective function such as finding a high-quality alignment score.

Also calculated was a weighted alignment score for both BLASR and LAST alignments, taking the number of reads multiplied by mean identity (Additional file 1: Figure S4).

The standard deviation of the optimal alignment score against a random spurious reference is modeled as a linear function of the mean optimal alignment score.