raxmlGUI Changelog

What's new in raxmlGUI 2.0.10

Sep 13, 2022
  • Performance and security updates

New in raxmlGUI 2.0.7 (Feb 22, 2022)

  • Use new raxml-ng v1.1.0 binaries.

New in raxmlGUI 2.0.3 (Apr 15, 2021)

  • Added:
  • Modeltest-NG is now also available on Windows (Tested on Windows 10 only).
  • Fixed:
  • Fixed some smaller styling issues.

New in raxmlGUI 2.0.2 (Mar 31, 2021)

  • Allow completely unknown binary sequences
  • Fixes #179

New in raxmlGUI 2.0.1 (Mar 5, 2021)

  • Added:
  • Some common errors in alignments will be automatically fixed when loading an alignment. This includes, replacing illegal characters with underscores in taxon names, disambiguating duplicated taxon names, shortening taxon names that are too long.
  • Changed:
  • Updated to include the latest binaries for raxml-ng on Mac and Linux (1.0.1).
  • Fixed:
  • Now correctly recognizes ? and N in nucleotide sequences.
  • Fixed a small bug that showed output files that are not a result of the actual analysis.
  • Added the correct citation for the release paper.
  • Fixed a bug where selecting the output directory would lead to the change in all tabs.
  • Fixed a bug where adding an alignment would add it in all tabs.
  • Fixed a crash when running ModelTest-NG on binary or multistate alignments.
  • Fixed a crash when the input alignment did not exist when starting a run.
  • Fixed a bug that deleted last parts of a taxon names with whitespaces.

New in raxmlGUI 1.3 (Dec 3, 2012)

  • A bug introduced in the previous version that prevented the concatenation of alignments was fixed
  • Updated RAxML executable with support for FASTA files

New in raxmlGUI 1.2 (Aug 1, 2012)

  • New Analysis: Compute pairwise distances of taxa, based on a given tree
  • or a MP-starting tree (Only for GAMMA-based models)
  • New Amino Acid substitution model GTR_UNLINKED (in which the parameters will be unlinked among partitions
  • Now it is possible to load alignments containing completely undetermined
  • sequences. This is especially helpful for combining data sets.
  • After the rogue taxa identification ("DROPSET") a consensus tree will be
  • computed in a pipeline
  • Now you can choose models without rate heterogeneity (RAxML flag -V)
  • bug fixes