Well-supported phylogenies using largest subsets of core-genes by discrete particle swarm optimization

06/25/2017
by   Reem Alsrraj, et al.
0

The number of complete chloroplastic genomes increases day after day, making it possible to rethink plants phylogeny at the biomolecular era. Given a set of close plants sharing in the order of one hundred of core chloroplastic genes, this article focuses on how to extract the largest subset of sequences in order to obtain the most supported species tree. Due to computational complexity, a discrete and distributed Particle Swarm Optimization (DPSO) is proposed. It is finally applied to the core genes of Rosales order.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/25/2017

Finding optimal finite biological sequences over finite alphabets: the OptiFin toolbox

In this paper, we present a toolbox for a specific optimization problem ...
research
02/22/2023

Particle Swarm Optimization in 3D Medical Image Registration: A Systematic Review

Medical image registration seeks to find an optimal spatial transformati...
research
02/05/2020

Convergence analysis of particle swarm optimization using stochastic Lyapunov functions and quantifier elimination

This paper adds to the discussion about theoretical aspects of particle ...
research
09/13/2019

A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems

Distributed Constraint Optimization Problems (DCOPs) are a widely studie...
research
04/05/2020

Efficient Task Mapping for Manycore Systems

System-on-chip (SoC) has migrated from single core to manycore architect...
research
08/15/2022

Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing

Built upon the decision tree (DT) classification and regression idea, th...

Please sign up or login with your details

Forgot password? Click here to reset