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That focused the search still further and the team was then able to employ more modern methods using genetic markers to show which small fraction of chromosome 16 the apomixis genes inhabit.The three researchers are now beginning to analyse the DNA of that region in order to discover the exact make-up of its genes.
Recently, a few methods using genetic algorithm, particle swarm optimization and similar approaches have been proposed to handle this problem.
The implementation of more rapid diagnostic methods using genetic and semi-automated techniques could also have a positive impact on this problem.
For the methods using genetic distances (Mantel tests) or patristic distances (ParaFit) original datasets were conserved but we excluded S. acaulis, because of the incongruence between individual gene phylogenies, which may have resulted from hybridization between two distant lineages.
Knock-ins have been primarily generated through efficient selection schemes based on the earlier MosI-mediated single-copy transgene insertion methods using genetic markers such as unc-119 (Dickinson et al. 2013), drug resistance markers (Chen et al. 2013b), or fluorescence (Tzur et al. 2013).
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Modern phylogenetic methods use genetic data for diverse tasks, from tracing the specific source of an infection to tracing the genetic heritage of an individual.
These methods use genetic information to ascertain population membership of individuals without assuming predefined populations.
Yen et al. [32] proposed a multi-constrained quality of service (QoS) multicast routing method using genetic algorithm.
Yen Yun-Sheng et al. [23] have proposed a multi-constrained QoS multicast routing method using genetic algorithm.
Endeavoring to solve the mathematical model more efficiently, we propose an effective heuristic method using Genetic Algorithm (GA).
The design and implementation of an on-line fuzzy identification method using genetic algorithms (GAs) is reported in this paper.
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