examl - Exascale Maximum Likelihood (ExaML) code for phylogenetic inference examl-AVX - Exascale Maximum

       Alexandros Stamatakis, Andre J. Aberer, and Alexey Kozlov on February 14 2017.

       This manpage was written by Andreas Tille for the Debian distribution and can be used for any other usage
       of the program.

examl 3.0.18                                      February 2017                                         EXAML(1)

       examl  - Exascale Maximum Likelihood (ExaML) code for phylogenetic inference examl-AVX - Exascale Maximum
       Likelihood (ExaML) code for phylogenetic inference using AVX  examl-OMP  -  Exascale  Maximum  Likelihood
       (ExaML)  code  for  phylogenetic  inference using OMP examl-OMP-AVX - Exascale Maximum Likelihood (ExaML)
       code for phylogenetic inference using AVX and OMP

-npNP NP  is the number of processors to use for MPI.  If not specified some hopefully sensible guess is
              made.  ThisisaspecificoptionoftheDebianwrapperin/usr/bin.-a     use the median for the discrete approximation of the GAMMA model of rate heterogeneity

              DEFAULT: OFF

       -B     specify the number of best ML trees to save and print to file

       -c     Specify number of distinct rate catgories  for  ExaML  when  modelOfEvolution  is  set  to  GTRPSR
              Individual  per-site  rates  are categorized into numberOfCategories rate categories to accelerate
              computations.

              DEFAULT: 25

       -D     ML search convergence criterion. This will break off ML searches if the  relative  Robinson-Foulds
              distance  between  the  trees obtained from two consecutive lazy SPR cycles is smaller or equal to
              1%. Usage recommended for very large datasets in terms of taxa.  On trees with more than 500  taxa
              this  will  yield  execution  time  improvements of approximately 50% While yielding only slightly
              worse trees.

              DEFAULT: OFF

       -e     set model optimization  precision  in  log  likelihood  units  for  final  optimization  of  model
              parameters

              DEFAULT: 0.1

       -f     select algorithm:

       "-f d": new rapid hill-climbing
              DEFAULT: ON

              "-f e": compute the likelihood of a bunch of trees passed via -t

              this  option  will do a quick and dirty optimization without re-optimizng the model parameters for
              each tree

              "-f E": compute the likelihood of a bunch of trees passed via -t

              this option will do a thorough optimization that re-optimizes the model parameters for each tree

              "-f o": old and slower rapid hill-climbing without heuristic cutoff

              "-f q": fast quartet calculator

              DEFAULT for "-f": new rapid hill climbing

       -g     Pass a multi-furcating constraint tree to ExaML. The  tree  needs  to  contain  all  taxa  of  the
              alignment!  When using this option you also need to specify a random number seed via "-p"

       -h     Display this help message.

       -i     Initial rearrangement setting for the subsequent application of topological changes phase

       -I     Set after how many quartet evaluations a new checkpoint will be printed.

              DEFAULT: 1000

       -m     Model of rate heterogeneity

              select  "-m PSR" for the per-site rate category model (this used to be called CAT in RAxML) select
              "-m GAMMA" for the gamma model of rate heterogeneity with 4 discrete rates

       -M     Switch on estimation of individual per-partition branch lengths. Only  has  effect  when  used  in
              combination with "-q" Branch lengths for individual partitions will be printed to separate files A
              weighted average of the branch lengths is computed by using the respective partition lengths

              DEFAULT: OFF

       -n     Specifies the name of the output file.

       -p     Specify a random number seed, required in conjunction with the "-g" option for constraint trees

       -R     read in a binary checkpoint file called ExaML_binaryCheckpoint.RUN_ID_number

       -r     Pass  the  number  of quartets to randomly sub-sample from the possible number of quartets for the
              given taxon set.  Only works in combination with -f q !

       -s     Specify the name of the BINARY alignment data file generated by the parser component

       -S     turn on memory saving option for gappy multi-gene alignments. For large and gappy datasets specify
              -S to save memory This will produce slightly different likelihood values, may be a bit slower  but
              can reduce memory consumption from 70GB to 19GB on very large and gappy datasets

       -t     Specify a user starting tree file name in Newick format

       -v     Display version information

       -w     FULL (!) path to the directory into which ExaML shall write its output files

              DEFAULT: current directory

       -Y     Pass  a quartet grouping file name defining four groups from which to draw quartets The file input
              format must contain 4 groups in the following form: (Chicken, Human, Loach), (Cow, Carp),  (Mouse,
              Rat, Seal), (Whale, Frog); Only works in combination with -f q !

       --auto-prot=ml|bic|aic|aicc  When using automatic protein model selection you can chose the criterion for
              selecting these models.

              RAxML will test all available prot subst. models except for LG4M, LG4X and GTR-based models,  with
              and  without  empirical  base frequencies.  You can chose between ML score based selection and the
              BIC, AIC, and AICc criteria.

              DEFAULT: ml

examl|examl-AVX|examl-OMP|examl-OMP-AVX-s    binarySequenceFileName     -n     outputFileNames     -m
       rateHeterogeneityModel  -t userStartingTree|-R binaryCheckpointFile|-g constraintTree -p randomNumberSeed
       [-np NP]  [-a]  [-B  numberOfMLtreesToSave]  [-c  numberOfCategories]  [-D]  [-e  likelihoodEpsilon]  [-f
       d|e|E|o|q]    [-h]    [-i    initialRearrangementSetting]   [-I   quartetCheckpointInterval]   [-M]   [-r
       randomQuartetNumber]     [-S]     [-v]     [-w     outputDirectory]     [-Y      quartetGroupingFileName]
       [--auto-prot=ml|bic|aic|aicc]