Sentence examples for pattern of alignment from inspiring English sources

In contrast, the next best match to a fish lectin sequence (zebrafish) shows no pattern of alignment for a dot matrix plot even when based on a 13/20 base match (Figure 4C).

When a trimmed, probe set consensus sequence alignment overlaps with one or more mRNAs in a group, the probe set is then considered to interrogate the same gene region or transcriptional unit as defined by the mRNAs' pattern of alignment.

The pattern of alignment of the smRNAs to potential Glyma model transcripts is one way to distinguish siRNAs and miRNAs.

Based on a fast detectable set of overlapping and crossing substructure matches for two nested RNA secondary structures, our method ExpaRNA (exact pattern of alignment of RNA) computes the longest collinear sequence of substructures common to two RNAs in O(H· nm) time and O(nm) space, where H ≪ n· m for real RNA structures.

Our ExpaRNA (exact pattern of alignment of RNA) method uses as a pre-processing step a fast O(nm) time and space algorithm from Backofen and Siebert (2007) for the identification of isolated common substructures for the two given RNAs of lengths n and m with nested secondary structures.

By searching for clusters of fragments exhibiting this pattern of alignments to the reference assembly, it is possible to identify putative inversion events.

The results provide evidence that forces of either strategic or administrative patterns of alignment refer to different layers and the sequencing of HRM activities within a process of HR system change, thereby revealing the possibility of contradictory effects induced by HR change agency on either the 'HR' or the 'public service' side of the strategic coin.

Brown archaeoastronomers may justify this assumption through reading historical or ethnographic sources, while Green archaeoastronomers tend to prove that alignments are unlikely to be selected by chance, usually by demonstrating common patterns of alignment at multiple sites.

Many snake assemblies showed patterns of alignment to the optical map that were predominantly in the level 2 coverage category.

Abnormal patterns of alignment were filtered out, such as extremely high or low read depth, high percentage of misaligned reads, high strand bias of the alternative allele, and skewed alignment position of the alternative allele.

So, rather than using rice physical distances, in order to look at the patterns of alignments and their associated MegaBLAST scores, comparisons were made using linear 10% divisions of the FAexpTRL (n = 120, i.e. 10/pseudomolecule) and moving windows of 100 consecutive FAexpTRL (MWs) for each pseudomolecule (the number of MWs covering the 17108 FAexpTRL = 15920 – illustrated in Figure 3).