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By conducting a clustering analysis of the amino acid sequences using sequence similarity criteria and of the experimental results using a hierarchical clustering algorithm, we have demonstrated that there is an underlying correlation between the sequence and activity of the identified peptides.
All of these data indicate of a degree of informational degeneracy between the sequence and folding codes.
The significance of the threading was determined on the family basis: if over 75% of the members in a family give the threading scores above threshold, the alignment between the sequence and the template structures from the family was considered significant.
The hidden data can be viewed as the alignment between the sequence and the model.
ORM is used to calculate matching scores between the sequence and contigs.
We enforce this physical constraint when generating the optimal alignment between the sequence and template.
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We preformed real-time quantitative PCR (q-PCR) experiments for selected 30 miRNAs in 47 tissue-specific samples and found agreement between the sequencing and q-PCR data.
The smaller the mean value, the higher the similarity between the sequences, and the older the carrier.
The profiles-3D method was used as a standard in evaluating the fitness between the sequences and the 3D models.
Molecular markers were derived from SNPs identified between the sequenced and annotated VW9 genome and de novo sequence of VW8.
Sequence alignment was conducted between the sequencing sequence and the reference genome with the software of Burrows-Wheeler Aligner (BWA) [ 28].
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