Leading Professional Society for Computational Biology and Bioinformatics
Connecting, Training, Empowering, Worldwide

ISCB News and Announcements

  • ROCKY 2021 - Dec 2 – 4, 2021, Aspen/Snowmass, CO
  • ISMB/ECCB 2021, July 25 - 30, 2021, Virtual Conference
  • Applied Statistical Modelling and Health Informatics PG Cert, King’s College London
 ISCBacademy Webinar Series
Mark your calendars for Wednesday, September 30, 2020!
Please use the link below to find more information or to register for:

September 30, 2020 at 11:00AM EDT, RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inferenceI by Alexey Kozlov and Alexandros Stamatakis, hosted by EvolCompGen COSI

Phylogenies are important for fundamental biological research, but also have numerous applications in biotechnology, agriculture and medicine. Finding the optimal tree under the popular maximum likelihood (ML) criterion is known to be NP-hard. Thus, highly optimized and scalable codes are needed to analyze constantly growing empirical datasets.

We present RAxML-NG, a from-scratch re-implementation of the established greedy tree search algorithm of RAxML/ExaML. RAxML-NG offers improved accuracy, flexibility, speed, scalability, and usability compared with RAxML/ExaML. On taxon-rich datasets, RAxML-NG typically finds higher-scoring trees than IQTree, an increasingly popular recent tool for ML-based phylogenetic inference (although IQ-Tree shows better stability). Finally, RAxML-NG introduces several new features, such as the detection of terraces in tree space and the recently introduced transfer bootstrap support metric.
The code is available under GNU GPL at https://github.com/amkozlov/raxml-ng. RAxML-NG web service (maintained by Vital-IT) is available at https://raxml-ng.vital-it.ch/.

Hosted by:


Register for an ISCB Webinar
Upcoming Webinars: