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Found 4 papers, 0 papers with code
Well-supported phylogenies using largest subsets of core-genes by discrete particle swarm optimization
The number of complete chloroplastic genomes increases day after day, making it possible to rethink plants phylogeny at the biomolecular era.
Binary Particle Swarm Optimization versus Hybrid Genetic Algorithm for Inferring Well Supported Phylogenetic Trees
Considering a subset of close plant species defined according to their chloroplasts, the phylogenetic tree that can be inferred by their core genes is not necessarily well supported, due to the possible occurrence of problematic genes (i. e., homoplasy, incomplete lineage sorting, horizontal gene transfers, etc.)
Hybrid Genetic Algorithm and Lasso Test Approach for Inferring Well Supported Phylogenetic Trees based on Subsets of Chloroplastic Core Genes
The amount of completely sequenced chloroplast genomes increases rapidly every day, leading to the possibility to build large scale phylogenetic trees of plant species.
Gene Similarity-based Approaches for Determining Core-Genes of Chloroplasts
More precisely, we proposed to use genes names, sequence similarities, or both, insured either from NCBI or from DOGMA annotation tools.
