Sentence examples for diverse alignments from inspiring English sources

For less diverse alignments, any MSA analysis will have a higher probability of predicting false positives (false SDPs, in this case) as a result of less discriminatory conservation scores.

Its core is a support vector machine (SVM) [ 26], a discriminative classifier that is trained on diverse alignment information on indel examples validated by reliable Sanger sequencing.

Here, we present INTREPID an information theoretic approach for functional site identification that exploits the information in large diverse multiple sequence alignments (MSAs).

In order to make fair comparisons among the diverse range-bin alignment techniques, in this paper we always use the method in [16] for the phase adjustment step.

Significant effects are more likely in participants with evidence of varus malalignment, rather than in a diverse cohort where alignment is likely to range from valgus (in which lateral wedges could be detrimental) to neutral to varus.

The taxa in M become more diverse if the alignment scores are inaccurate ultrametric distance estimates, if the species subtree's topology deviates from the respective part of the taxonomy or if the gene tree's topology deviates from the species tree, for instance due to varying rates of evolution or the inclusion of non-homologous segments in the analysis.

A Fortran library of algorithms (Par_Seq) has been designed and used in searching for the similarity of sequence motifs extracted from the multiple sequence alignments of diverse groups of proteins (query motifs) and the target motifs which are encoded in various genomes.

For the phylogenetic tree construction, only the exon region of ß-tubulin was utilized, since the intron region is too diverse to produce reliable alignments above the generic level [6].

Figure 2 and Additional file 4 show multiple sequence alignments comparing diverse known and new arrestins.

At this sequence identity range and especially in case of highly diverse families, multiple sequence alignments may not be trivial.

Third, when working with diverse taxon sets, multigene alignments often have lots of missing data (i.e., gene presence/absence is highly variable).