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However, this means that we do not directly estimate the Jaccard index between a sequence and the categories, but we measure similarity based on the number of collisions between the minhash values in the sequence signature and the category signature.
The basic concept of this approach is to sequentially perform pair-wise alignments between two sequences of affinity scores, between a sequence and a profile, or between two profiles, according to the phylogenetic tree of the six species.
The mean number of splits and the mean sum of lengths of splits between a sequence and the NSI/CCR5-tropic sequences on the tree are used as the score predictive of the coreceptor usage.
BWT-SW deploys a similar strategy in performing the dynamic programming between a sequence and a prefix trie to find seed matches followed by Smith Waterman extension.
In addition, at least 25% sequence identity between a sequence and the Arabidopsis sequence which was it best hit, was required.
Robustness is measured using neutrality, which is calculated as the mean secondary structure similarity (i.e. normalized base-pair distance) between a sequence and those that differ by exactly one point mutation 1-mutantt neighbors) [ 29].
Similar(51)
A recently published article [ 15] shows a link between a TNR sequence and a human genomic disorder related to OMIM #608149.
If the sequence identity and the coverage between a sequence hit and the human were higher than 40% and 80%, respectively, the sequence was selected as a homologous sequence.
This e-value can be considered as a fitness score between a TF sequence and a hidden Markov model: lower e-value indicates better fitness.
To score a specific reference MLV as present in a mouse, we used a strict criterion of 100%% identity between a sequence read and the reference sequence.
Such a profile of alignment scores summarizes the differences between a given sequence and a given family of allergen proteins.
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