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Some researches solved the assembly line balancing problem using a ranked positional weight technique (Helgeson and Birnie 1961).
In our most recent work [38], we studied a simplified version of this open problem and solved the assembly sequences of 3, 4, and 5 objects with a fixed final assembly pose.
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First, long reads would solve the assembly chimaera problems that have plagued attempts to use short-read sequencing platforms such as Illumina for sequencing genomes directly from non-clonal viral populations.
About that, the study and design of the junction has been another interesting issue to solve the assembly of the modules, focusing on factors like the isolation and the rainwater always present.
Many attempts have been made to solve the assembly line balancing (ALB) problems using the exact solution methods, heuristics, and meta-heuristic approaches.
This novel technique provides a more effective and flexible way to solve the CNT assembly issue.
In this paper, we develop an integer programming formulation and global optimization solution strategy to solve the sequence assembly problem with errors in the data.
To solve the VCIM assembly scheduling problem, which is very complex because many precedence constraints are involved, a GA with many customisations must be developed.
We solve the haplotype assembly problem when long reads are also considered by conversion to MaxSAT.
We develop a probabilistic model, called MixSIH, for solving the haplotype assembly problem.
We develop a novel method for solving the haplotype assembly problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com