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Updated: May 3, 2026

A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies
1Scientific Computing Group, Heidelberg Institute for Theoretical Studies, 69118 Heidelberg and Department of Informatics, Institute of Theoretical Informatics, Karlsruhe Institute of Technology, 76128 Karlsruhe, Germany.
RAxML (Randomized Axelerated Maximum Likelihood) software has been updated to handle larger phylogenetics datasets. New features improve computational efficiency and expand analytical capabilities for biological research.
Area of Science:
- Computational Biology
- Bioinformatics
- Evolutionary Biology
Background:
- Phylogenetic analyses are crucial in medical and biological research.
- Next-generation sequencing drives rapid growth in phylogenetic dataset size.
- RAxML (Randomized Axelerated Maximum Likelihood) is a key tool for large-scale phylogenetic analysis.
Purpose of the Study:
- To present significant updates and extensions to the RAxML software.
- To enhance RAxML's capacity for analyzing increasingly large biological datasets.
- To detail new features supporting the evolving needs of the research community.
Main Methods:
- Implementation of advanced computational techniques, including SSE3, AVX, and AVX2 vector intrinsics.
- Development of methods to reduce memory requirements for large-scale analyses.
- Expansion of supported substitution models and data types.
Main Results:
- Substantial extension of available substitution models and data types.
- Significant performance improvements through vector intrinsic utilization.
- Introduction of memory-saving techniques and new tree manipulation tools.
Conclusions:
- RAxML has been significantly enhanced to meet the demands of modern phylogenetic research.
- The updated software offers improved performance, expanded functionality, and better memory efficiency.
- A comprehensive user manual is available, detailing all new features and options.
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