MPBoot: fast phylogenetic maximum parsimony tree inference and bootstrap approximation

Maximum Parsimony Phylogenetic Inference Using Simulated Annealing

The Maximum Parsimony (MP) problem aims at reconstructing a phylogenetic tree from DNA sequences while minimizing the total number of genetic transformations. In this paper we propose a carefully devised simulated annealing implementation, called SAMPARS (Simulated Annealing for Maximum PARSimony), for finding near-optimal solutions for the MP problem. Different possibilities for its key compon...

Phylogenetic inference and parsimony analysis.

Haplotype inference by maximum parsimony

MOTIVATION Haplotypes have been attracting increasing attention because of their importance in analysis of many fine-scale molecular-genetics data. Since direct sequencing of haplotype via experimental methods is both time-consuming and expensive, haplotype inference methods that infer haplotypes based on genotype samples become attractive alternatives. RESULTS (1) We design and implement an ...

Ultrafast Approximation for Phylogenetic Bootstrap

Nonparametric bootstrap has been a widely used tool in phylogenetic analysis to assess the clade support of phylogenetic trees. However, with the rapidly growing amount of data, this task remains a computational bottleneck. Recently, approximation methods such as the RAxML rapid bootstrap (RBS) and the Shimodaira-Hasegawa-like approximate likelihood ratio test have been introduced to speed up t...

Relative efficiencies of the maximum parsimony and distance-matrix methods in obtaining the correct phylogenetic tree.

The relative efficiencies of the maximum parsimony (MP) and distance-matrix methods in obtaining the correct tree (topology) were studied by using computer simulation. The distance-matrix methods examined are the neighbor-joining, distance-Wagner, Tateno et al. modified Farris, Faith, and Li methods. In the computer simulation, six or eight DNA sequences were assumed to evolve following a given...