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In this paper, we present Logic Alignment Free (LAF), a method that combines alignment-free techniques and rule-based classification algorithms in order to assign biological samples to their taxa.
This IMU homolog is in Aeromonas salmonicida subsp. salmonicida A449 plasmid 5 (as determined by a basic logic alignment search tool [Blast] search, Expect = 4e−30, Identity = 77%, found at nt positions 151346 151633, Accession number CP000646; N.D., unpublished).
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Considering such logic of strategic alignment, needs-driven, opportunity-driven and capability-driven approaches are conceptualized as distinct patterns of HRD practices (Luoma 2000).
The logic of building an alignment is partially circular: alignments are built in part by maximizing sequence conservation, but then are used to find conserved positions which are, in turn, identified as important.
There is some logic to the new alignment.
It is presented as a generalization of the current state of the art model-driven approaches both from the conceptual perspective as well as the concrete implementation is discussed together with its advantages like the alignment of business logic with the application and ease of adaptability.
Networks of ontologies are made of a collection of logic theories, called ontologies, related by alignments.
A careful design of this control logic guarantees that the maximum number of shifts needed to perform the alignment is 4. The idea is simple: we can substitute a left shift operation with a shorter right shift operation.
The first is standard time complexity and the second is a ratio of the word size, w, and the count, p, of logic and addition operations required to process w consecutive cells in the alignment scoring matrix.
This intelligent method utilizes a custom fuzzy logic algorithm to control the motion of the tip electrode and automate tip/substrate alignment.
The control logic is almost the same as in the SR approach, and the limited number of shifts needed for the alignment reduces the complexity of this kind of shifter.
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