Sentence examples for multiple alignments or from inspiring English sources

Aligned reads where filtered to remove reads with multiple alignments or ambiguous assignment by executing the script in "intersection non-empty" mode.

Thus, even given the caveats, the network shown in Fig. 4A provides a view of broad relationships across the rhodopsin-like GPCRs that is informative in a way not accessible from multiple alignments or trees.

Reads with multiple alignments or with any mismatches were completely filtered out.

Any probe set)s with multiple alignments or partial alignments to the genome were omitted in downstream analysis.

We filtered out predicted variants with genotype quality scores lower than 40, falling into annotated repetitive regions (i.e., transposons, telomeres, centromeres), or falling into duplicated regions predicted either by reads with multiple alignments or by the CNVnator algorithm [ 23].

For proteins without close homologies, the LOMETS threading programs often identify multiple alignments or super-secondary structure segments from weakly homologous templates, where the DCS profile can help pull out consensus information between domain structure and alignment gaps.

Thus, it still remains difficult to build a relevant multiple alignment or profile to identify conserved residues or motifs for this region.

Clearly, the visualized network gives more information about how these sequences fit into the larger context of the superfamily than can be conveyed by a listing of scores or even a multiple alignment or tree.

The GOS 6800 CP sequence is truncated and was thus not used in the multiple alignment or phylogenetic analysis, however the available sequence was sufficient for BLASTp comparison.

In any application that performs a comparison between multiple sequences, either by multiple alignment or just by the construction of phylogenetic trees, we perform the similarity calculation in many independent sequences.

It can be used as a preprocessing step to any multiple alignment or repeats inference method, eliminating a possibly large fraction of the input that is guaranteed not to contain any approximate repeat.