Sentence examples for hidden alignment from inspiring English sources

This hidden alignment was particularly discernible in the ease with which the Cold War, with its ubiquitous, if subliminal, anti-Semitism, morphed into the clash of civilizations, with jihadists replacing Reds as figments of the American nightmare.

To identify significant sequence similarity between distantly related intergenic regions, we used the local alignment algorithm, BlastN, and a profile hidden markov alignment algorithm, HMMER, to search the genome of each species for similarity to each S. cerevisiae intergenic sequence.

Second (Section 3.2), we apply different alignment methods such as pairwise sequence alignment (GOTOH) and hidden Markov model alignment (HHALIGN).

For each domain are available manually verified multiple alignments, hidden Markov Models (HMM) and full-alignments.

The former uses torsion-angle states as a replacement of simple three-state secondary structures to build an iterated alignment hidden Markov model [18].

DH and JS constructed the multiple sequence alignments, hidden Markov models, and PEP-CTERM genome property definition.

We developed a highly sensitive and distinctly specific method for identifying ultramicro inversions hidden within nucleotide alignments.

The inversions ranging from 23 to 125 bp could be any one of the ultramicro inversions hidden in a local alignment or small-size inversions identified as a single or a string of local alignment [ 6].

Such ultramicro inversions are extremely difficult to detect using existing methods because they may be hidden within the local alignments of BLAST or other popular alignment softwares.

The degree of overlooking the ultramicro inversions hidden within the local alignments would be higher within the alignment between closely related genomes, because mismatches in short regions are negligibly small for highly similar alignments longer than ten kilobases.

We have examined the homology searches for the ORFs listed as encoding hypothetical proteins, as well as examined the COG (cluster of orthologous groups) [31] predictions and PFAM (Protein Families Database of Alignments and hidden Markov models) [32] predictions of these genes.