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The frequent activities along with their sequential orders are then identified in each cluster, and they are subsequently used as a template to guide the construction of a multiple alignment of the cluster of sequences.
For this we selected one representative of each cluster of sequences with more than 98.5%% homology over the full cap gene.
Primate cluster of sequences was selected from Uniref 90 database [9] (for bias towards human sequences) for each DEAD box family member.
This analysis resulted in two main branches: one major cluster of sequences containing most of the cancer samples, and a second branch containing the normal group along with a second cancer group (Figure 6).
However the high variability of the mtDNA CR (119 parsimony informative sites and an average of approximately 5.3 fixed positions for each cluster of sequences) complicate the set-up of the methodology.
In line with the biogeographical model developed by Petersen et al. [24], the 16S rRNA gene sequence of the gammaproteobacterial symbiont from Snake Pit falls within the cluster of sequences obtained from the northern MAR vent fields Rainbow, TAG, and Logatchev.
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If the difference is significant, then it is a strong indication for a cluster of sequencing errors.
There is a large central cluster of sequence alignment tools within this network, which could correlate to the broad applicability of these resources.
Six clusters of sequences covering different phylogenetic levels as well as two strains were selected in a case study.
unsupervised clustering of sequences from unlabeled data, given the desired number of clusters; supervised classification of new input sequences, given a set of labeled training sequences.
In this framework, we deal with two problems: (i) unsupervised clustering of sequences from unlabeled data, given the desired number of clusters; (ii) supervised classification of new input sequences, given a set of labeled training sequences. .
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