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raxmlGUI download | SourceForge.net

RELEASE NOTE: Get raxmlGUI 2.0 at the NEW PROJECT LOCATION: https://antonellilab.github.io/raxmlGUI/

raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used software for phylogenetic inference using maximum likelihood.

A userfriendly graphical front-end for phylogenetic analyses using RAxML (Stamatakis, 2006). Please cite: Silvestro, Michalak (2012) - raxmlGUI: a graphical front-end for RAxML. Organisms Diversity and Evolution 12, 335-337. DOI: 10.1007/s13127-011-0056-0

• *NEW VERSION 2.0 NOW AVAILABLE: https://antonellilab.github.io/raxmlGUI/*
• *version 1.5* adds the possibility to run analyses through CIPRES Science Gateway
• The GUI includes RAxML executables
• Multiplatform compatibility (Mac OS, Windows, Linux)
• Requires Python 2.6, 2.7
• Intuitive interface for data partitioning, and outgroup selection
• Model selection for DNA, amino acid, binary, and multistate alignments
• Automatic conversion NEXUS to PHYLIP (and vice versa)
• Import FASTA files
• Ancestral state reconstruction
• "Bootstopping" function (Pattengale et al. 2010)
• Interactive exclusion of sites
• Combining multiple alignments with automatic partitioning
• Interactive definition of topological constraints
• Robinson-Foulds pairwise distances
• Per-site likelihoods

• MEGA (Molecular Evolutionary Genetics Analysis) is a powerful and user-friendly software suite designed for analyzing DNA and protein sequence data from species and populations. It facilitates both automatic and manual sequence alignment, phylogenetic tree inference, and evolutionary hypothesis...

• Galaxy is an open source, web-based platform for data-intensive biomedical research. If you are new to Galaxy start here or consult our help resources. You can install your own Galaxy by following the tutorial and choosing from thousands of tools from the tool shed. This instance of Galaxy is...

• The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists. Resources to maximize the potential of Bioconductor. From basic functionalities to...

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