Dimitri Höhler

RAxML-NG 2.0 introduces new features for phylogenetic inference, including automatic model selection and faster branch support metrics, with significant speed improvements.

The paper introduces EBG, a machine learning tool that predicts Felsenstein Bootstrap Support values for phylogenies, achieving high speed and accuracy compared to existing methods.

This study evaluates the realism of sequence evolution simulations by testing how well supervised learning can distinguish simulated from empirical MSAs.

The paper introduces an adaptive tree search heuristic in RAxML-NG that adjusts search thoroughness based on dataset difficulty, achieving significant speedups while maintaining accuracy.

The paper introduces Pythia, a Random Forest Regressor that predicts the difficulty of phylogenetic analyses under the Maximum Likelihood model.

The paper evaluates phylogenetic inference tools on simulated and empirical data, finding poor performance on difficult alignments and highlighting discrepancies between simulated and empirical accuracy.

RAxML Grove provides a database of over 60,000 empirical phylogenetic trees and model parameters for simulating realistic data and analyzing tree shape distributions.

SoftWipe ranks 51 computational tools across research areas to assess scientific software quality, aiding in software selection and review processes.