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In this work, we propose a mathematical model for designing spacer sequences of flexible length for SBVs by exploiting existing proteasomal cleavage and epitope prediction methods.
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The plan could be modified at any time, including after the birth, allowing for a flexible length of stay for women.
First, the flexible length of passage made it difficult to detect the boundary of passages.
Results show that a smaller flexible length ratio is better for obtaining a larger maximum bending curvature, and that for an actuator containing multiple hinges, the total length of the hinges is more important than the number of hinges in the actuator.
For the n-queens problem, we reasonably design flexible length DNA strands representing elements of the allocation matrix, take appropriate biologic manipulations and get the solutions of the n-queens problem in proper length and O(n2) time complexity.
Considering additional spacer sequences with flexible length, increases the possibilities many times over.
The flexible length-adaptive significance assessment of CNA units via Eq. (4) automatically accounts for distinct background rates according to their lengths and thus more likely to detect independent SCAs.
The flexible lengths yield a versatile medium.
Secondly, property encoding mitigates the problem of flexible lengths.
For this purpose only flexible-length motifs were evaluated.
One of the innovations of SLiMBuild over TEIRESIAS [9], which is used to generate motifs for both SLiMDisc and DILIMOT, is its ability to return motifs with flexible-length wildcards.
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CEO of Professional Science Editing for Scientists @ prosciediting.com