Sentence examples for sequences or clusters from inspiring English sources

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More than 1000 characteristic sequences or clusters of SREs with nearly identical waveform have been found near the east coast of NE Japan since 1984 (36.5 41.5 deg. N) or 1993 (41.5 43.5 deg. N and 34.5 36.5 deg. N) (Igarashi et al., 2003; Uchida et al., 2003).

In Indo-European languages, a relatively large class of sound symbolic elements are phonesthemes, sound sequences, or clusters that occur across a number of words that have similar semantic properties (e.g., glimmer, glisten, glow refer to steady light and flicker, flash, flare refer to moving light; Bergen, 2004; Parault & Parkinson, 2008).

Sixty of the 98 sequences or clusters did not identify other GenBank sequences in BlastX searches (Table 2) and were categorized as genes with unknown function.

Nonetheless, a perfect match was not expected given that RT-qPCR primers were obtained either from published work (e.g., GST) or, when available, designed on well characterized sequences such as GenBank reference sequences or clusters on the gene index database for Atlantic salmon (ASGI), which do not necessarily match exactly the clone on the array.

Just over a quarter (25.7%; n = 27) of the differentially expressed genes were from ORESTES and the remaining from SSH. Clustering the identified differentially expressed sequences revealed 9 clusters, one with 5 sequences and 8 with two (Table 2), leaving 98 unique sequences or clusters.

Bins of similar sequences, or clusters, were generated containing all contigs irrespective of species origin that had alignments with greater than 75% of the length of the shorter sequence and had greater than 70% identity in the overlapping regions (alignments consisted of ends-free alignment with scores of 2/-2/-5/-1 2/-2/-5/-1 2/-2/-5/-1 2/-2/-5/-1end gaps [ 43].

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For most clusters containing multiple consensus sequences or cluster singlets, a single Blast hit was selected for annotation.

The nearest divergent copy type to each sequence (or cluster of similar sequences) was always from a different species except for two pairs of divergent P. flaviceps class 1 copies.

Current methods often use the frequency of a mutated gene across a cohort, the location of a mutation in the gene, whether the mutations are silent or non-silent, frame-shifting, potentially protein domain altering, found in more evolutionarily conserved regions of the peptide sequence, or cluster together in the protein sequence or structure.

Since we observed strong homologies between many of the 52 rice nsLtp genes, the mismatches consented during the assembly of wheat ESTs in tentative consensus sequences or UniGene clusters (indexed in the TIGR Wheat Gene Index Database and in the NCBI UniGene database, respectively) make these last not appropriate for the identification of novel wheat nsLtp genes.

It will be shown later that the main reason for the use of the modified SLM sequences or the clustered SLM sequences (in ECM) is to facilitate channel mitigation and data decoding without the need for SI estimation at the receiver.

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