This is RAxML version 8.2.12 released by Alexandros Stamatakis on May 2018.

With greatly appreciated code contributions by:
Andre Aberer      (HITS)
Simon Berger      (HITS)
Alexey Kozlov     (HITS)
Kassian Kobert    (HITS)
David Dao         (KIT and HITS)
Sarah Lutteropp   (KIT and HITS)
Nick Pattengale   (Sandia)
Wayne Pfeiffer    (SDSC)
Akifumi S. Tanabe (NRIFS)
Charlie Taylor    (UF)


Alignment has 7268 distinct alignment patterns

Proportion of gaps and completely undetermined characters in this alignment: 17.70%


RAxML rapid hill-climbing mode

Using 1 distinct models/data partitions with joint branch length optimization


Executing 1 inferences on the original alignment using 1 user-specified trees

All free model parameters will be estimated by RAxML
GAMMA model of rate heterogeneity, ML estimate of alpha-parameter

GAMMA Model parameters will be estimated up to an accuracy of 0.1000000000 Log Likelihood units


Partition: 0
Alignment Patterns: 7268
Name: No Name Provided
DataType: AA
Substitution Matrix: WAG
Using fixed base frequencies


Base frequencies: 0.077 0.052 0.043 0.052 0.020 0.041 0.062 0.073 0.023 0.054 0.092 0.059 0.024 0.040 0.051 0.069 0.059 0.014 0.032 0.066 

Inference[0]: Time 32189.571172 GAMMA-based likelihood -8851102.931334
alpha[0]: 0.551710 


Conducting final model optimizations on all 1 trees under GAMMA-based models ....

Inference[0] final GAMMA-based Likelihood: -8851102.931334


Starting final GAMMA-based thorough Optimization on tree 0 likelihood -8851102.931334 ....

Final GAMMA-based Score of best tree -8851102.931334