Mercurial > repos > malex > raxml
view raxml.xml @ 0:d95d87f40f47 draft default tip
Uploaded the first beta.
| author | malex |
|---|---|
| date | Tue, 02 Oct 2012 17:35:46 -0400 |
| parents | |
| children |
line wrap: on
line source
<tool id="raxml" name="RaXML BETA (Testing)" version="1.0.0"> <requirements><requirement type='package'>raxml</requirement></requirements> <description>- Maximum Likelihood based inference of large phylogenetic trees</description> <command interpreter="python">raxml.py ## Required parameters ## Program name and threads are hard-coded as they are dependent on the binary and threads are specified in the Galaxy's tool configuration ## binary is hard-coded to the pthreads enabled raxml executable --binary "raxmlHPC-PTHREADS-SSE3" ## (-T) --threads 4 ## (-s) --source $infile ## (-m) --model_type $search_model_selector.model_type --base_model $search_model_selector.base_model #if str( $search_model_selector.model_type ) == 'aminoacid': #if str( $search_model_selector.aa_model_empirical_base_frequences) == 'true': --aa_empirical_freq #end if #if $search_model_selector.aa_search_matrix: --aa_search_matrix $search_model_selector.aa_search_matrix #end if #end if ## (-p) #if $random_seed: --random_seed $random_seed #else --random_seed 1234567890 #end if ## Optional parameters #if str( $selExtraOpts.extraOptions ) == 'full': ## (-N/#) #if $selExtraOpts.number_of_runs: --number_of_runs $selExtraOpts.number_of_runs #end if #if $selExtraOpts.number_of_runs_bootstop: --number_of_runs_bootstop $selExtraOpts.number_of_runs_bootstop #end if ## (-a) #if $selExtraOpts.weightfile: --weightfile $selExtraOpts.weightfile #end if ## (-b) #if str ($selExtraOpts.secondary_structure_model) != "": --secondary_structure_model $selExtraOpts.secondary_structure_model #end if ## (-b) #if $selExtraOpts.bootseed: --bootseed $selExtraOpts.bootseed #end if ## (-c) #if $selExtraOpts.numofcats: --numofcats $selExtraOpts.numofcats #end if ## (-d) #if str ($selExtraOpts.search_complete_random_tree) == "true": --search_complete_random_tree #end if ## (-D) #if str ($selExtraOpts.ml_search_convergence) == "true": --ml_search_convergence #end if ## (-e) #if $selExtraOpts.model_opt_precision: --model_opt_precision $selExtraOpts.model_opt_precision #end if ## (-E) #if $selExtraOpts.excludefile: --excludefile $selExtraOpts.excludefile #end if ## (-f) #if $selExtraOpts.search_algorithm: --search_algorithm $selExtraOpts.search_algorithm #end if ## (-F) #if str ($selExtraOpts.save_memory_cat_model) == "true": --save_memory_cat_model #end if ## (-g) #if $selExtraOpts.groupingfile: --groupingfile $selExtraOpts.groupingfile #end if ## (-G) #if $selExtraOpts.enable_evol_heuristics: --enable_evol_heuristics $selExtraOpts.enable_evol_heuristics #end if ## (-i) #if $selExtraOpts.initial_rearrangement_setting: --initial_rearrangement_setting $selExtraOpts.initial_rearrangement_setting #end if ## (-I) #if $selExtraOpts.posterior_bootstopping_analysis: --posterior_bootstopping_analysis $selExtraOpts.posterior_bootstopping_analysis #end if ## (-J) #if $selExtraOpts.majority_rule_consensus: --majority_rule_consensus $selExtraOpts.majority_rule_consensus #end if ## (-k) #if str ($selExtraOpts.print_branch_lengths) == "true": --print_branch_lengths #end if ## (-K) #if str ($selExtraOpts.multistate_sub_model) != "": --multistate_sub_model $selExtraOpts.multistate_sub_model #end if ## (-m) - see elsewhere ## (-M) #if str ($selExtraOpts.estimate_individual_branch_lengths) == "true": --estimate_individual_branch_lengths #end if ## (-n) - see elsewhere ## (-o) #if $selExtraOpts.outgroup_name: --outgroup_name $selExtraOpts.outgroup_name #end if ## (-O) #if str ($selExtraOpts.disable_undetermined_seq_check) == "true": --disable_undetermined_seq_check #end if ## (-P) #if $selExtraOpts.external_protein_model: --external_protein_model $selExtraOpts.external_protein_model #end if ## (-q) #if $selExtraOpts.multiple_model: --multiple_model $selExtraOpts.multiple_model #end if ## (-r) #if $selExtraOpts.constraint_file: --constraint_file $selExtraOpts.constraint_file #end if ## (-R) #if $selExtraOpts.bin_model_parameter_file: --bin_model_parameter_file $selExtraOpts.bin_model_parameter_file #end if ## (-S) #if $selExtraOpts.secondary_structure_file: --secondary_structure_file $selExtraOpts.secondary_structure_file #end if ## (-t) #if $selExtraOpts.start_tree_file: --starting_tree $selExtraOpts.start_tree_file #end if ## (-T) see elsewhere ## (-u) #if str ($selExtraOpts.use_median_approximation) == "true": --use_median_approximation #end if ## (-U) #if str ($selExtraOpts.save_memory_gappy_alignments) == "true": --save_memory_gappy_alignments #end if ## (-V) #if str ($selExtraOpts.disable_rate_heterogeneity) == "true": --disable_rate_heterogeneity #end if ## (-W) #if $selExtraOpts.sliding_window_size: --sliding_window_size $selExtraOpts.sliding_window_size #end if ## (-x) #if $selExtraOpts.rapid_bootstrap_random_seed: --rapid_bootstrap_random_seed $selExtraOpts.rapid_bootstrap_random_seed #end if ## (-y) #if str ($selExtraOpts.parsimony_starting_tree_only) == "true": --parsimony_starting_tree_only #end if ## (-z) #if $selExtraOpts.file_multiple_trees: --file_multiple_trees $selExtraOpts.file_multiple_trees #end if #end if ##silent sys.stderr.write("DEBUG1 START\n") ##silent sys.stderr.write($selExtraOpts.extraOptions) ##silent sys.stderr.write("\nDEBUG1 END\n") </command> <inputs> ## (-m) <conditional name="search_model_selector"> <param name="model_type" type="select" label="Model Type"> <option value="nucleotide" selected="true">Nucleotide</option> <option value="aminoacid">Amino Acid</option> <option value="binary">Binary</option> <option value="multistate">Multistate</option> </param> <when value="nucleotide"> ## Nucleotide substitution models <param name="base_model" type="select" label="Substitution Model (-m)"> <option value="GTRCAT">GTRCAT</option> <option value="GTRCATI">GTRCATI</option> <option value="GTRGAMMA" select="true">GTRGAMMA</option> <option value="GTRGAMMAI">GTRGAMMAI</option> </param> </when> ## Aminoacid substitution models <when value="aminoacid"> <param name="aa_model_empirical_base_frequences" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="Use empirical base frequencies in AA models" /> <param name="base_model" type="select" label="Substitution Model (-m)"> <option value="PROTCAT" select="true">PROTCAT</option> <option value="PROTCATI">PROTCATI</option> <option value="PROTGAMMA">PROTGAMMA</option> <option value="PROTGAMMAI">PROTGAMMAI</option> </param> <param name="aa_search_matrix" type="select" label="Matrix"> <option value="DAYHOFF" select="true">DAYHOFF</option> <option value="DCMUT">DCMUT</option> <option value="JTT">JTT</option> <option value="MTREV">MTREV</option> <option value="WAG">WAG</option> <option value="RTREV">RTREV</option> <option value="CPREV">CPREV</option> <option value="VT">VT</option> <option value="BLOSUM62">BLOSUM62</option> <option value="MTMAM">MTMAM</option> <option value="LG">LG</option> <option value="MTART">MTART</option> <option value="MTZOA">MTZOA</option> <option value="PMB">PMB</option> <option value="HIVB">HIVB</option> <option value="HIVW">HIVW</option> <option value="JTTDCMUT">JTTDCMUT</option> <option value="FLU">FLU</option> <option value="DUMMY">DUMMY</option> <option value="DUMMY2">DUMMY2</option> <option value="GTR_UNLINKED">GTR_UNLINKED</option> <option value="GTR">GTR</option> </param> </when> ## Binary substitution models <when value="binary"> <param name="base_model" type="select" label="Substitution Model (-m)"> <option value="BINCAT">BINCAT</option> <option value="BINCATI">BINCATI</option> <option value="BINGAMMA">BINGAMMA</option> <option value="BINGAMMAI">BINGAMMAI</option> </param> </when> ## Multi-state substitution models <when value="multistate"> <param name="base_model" type="select" label="Substitution Model (-m)"> <option value="MULTICAT">MULTICAT</option> <option value="MULTICATI">MULTICATI</option> <option value="MULTIGAMMA">MULTIGAMMA</option> <option value="MULTIGAMMAI">MULTIGAMMAI</option> </param> </when> </conditional> <param name="random_seed" type="integer" value="1234567890" size="12" label="Random seed used for the parsimony inferences (-p)" /> <conditional name="selExtraOpts"> <param name="extraOptions" type="select" label="RAxML options to use" help="The required minimal settings are the input file and the substitution model. To specify extra options select the 'Full option list'"> <option value="required">Required options only</option> <option value="full">Full option list</option> </param> <when value="required"> ## (-s) <param name="infile" format="txt" type="data" label="Sequence File (relaxed PHYLIP format) (-s)"/> </when> <when value="full"> ## (-s) <param name="infile" format="txt" type="data" label="Sequence File (relaxed PHYLIP format) (-s)" optional="True"/> ## (-N/#) <param name="number_of_runs" type="integer" size="8" value="" label="Number of runs (-N|#)" help="Specify the number of alternative runs on distinct starting trees In combination with the '-b' option will invoke a multiple boostrap analysis. You can add the bootstopping criteria by choosing the autoMR, autoMRE, autoMRE_IGN, or autoFC value in a menu below instead of providing a number here. Bootstopping will only work in combination with '-x' or '-b'." optional="True" /> <param name="number_of_runs_bootstop" type="select" label="Use bootstopping criteria for number of runs (-N/#)" optional="True"> <option value="" selected="yes"></option> <option value="autoMR">autoMR</option> <option value="autoMRE">autoMRE</option> <option value="autoMRE_IGN">autoMRE_IGN</option> <option value="autoFC">autoFC</option> </param> ## Alphabetical Listing of Advanced Options ## (-a) <param format="txt" name="weightfile" type="data" label="Column weight file (-a)" optional="True" /> ## (-A) <param name="secondary_structure_model" type="select" label="Secondary structure substitution model (-A)" optional="True"> <option value="" selected="yes"></option> <option value="S6A">S6A</option> <option value="S6B">S6B</option> <option value="S6C">S6C</option> <option value="S6D">S6D</option> <option value="S6E">S6E</option> <option value="S7A">S7A</option> <option value="S7B">S7B</option> <option value="S7C">S7C</option> <option value="S7D">S7D</option> <option value="S7E">S7E</option> <option value="S7F">S7F</option> <option value="S16">S16</option> <option value="S16A">S16A</option> <option value="S16B">S16B</option> </param> ## (-b) <param name="bootseed" type="integer" size="8" value="" label="Random number for non-parametric bootstrapping (-b)" refresh_on_change='true' optional="True" /> ## (-x) <param name="rapid_bootstrap_random_seed" type="integer" value='' size="7" label="Rapid bootstrapping random seed (-x)" optional="True" help="Specify a random seed and turn on rapid bootstrapping. CAUTION: unlike in version 7.0.4 RAxML will conduct rapid BS replicates under the model of rate heterogeneity you specified via '-m' and not by default under CAT." /> ## (-B) <param name="cutoff_threshold" type="float" size="8" label="MR Cutoff threshold (-B)" value="" help="Cutoff threshold for the MR-based bootstopping criteria, recommended value is 0.1" optional="True" /> ## (-c) <param name="numofcats" type="integer" size="8" label="Number of Rate Categories for GTRCAT/GTRMIX (-c)" optional="True" /> ## (-C) Conduct model parameter optimization doesn't work in the pthreads version. Skip for now. ## (-d) <param name="search_complete_random_tree" type="boolean" checked="False" truevalue="true" falsevalue="false" display="checkboxes" label="Start ML optimization from a complete random starting tree (-d)" /> ## (-D) <param name="ml_search_convergence" type="boolean" checked="False" truevalue="true" falsevalue="false" label="ML search convergence criterion (-D)" /> ## (-e) <param name="model_opt_precision" type="float" size="8" label="Model optimization precision (-e)" value="" help="Set model optimization precision in log likelihood units when MIX/MIXI or GAMMA/GAMMAI models are used" optional="True" /> ## (-E) <param format="txt" name="excludefile" type="data" label="Exclude file (-E)" optional="True" /> ## (-f) <param name="search_algorithm" type="select" label="Algorithm to execute (-f)" optional="True"> <option value="a">Rapid bootstrap and best ML tree search (a)</option> <option value="A">Compute marginal ancestral states (A)</option> <option value="b">Draw bipartition information (b)</option> <option value="c">Check if the alignment can be read (c)</option> <option value="d" selected="true">Hill-climbing ML Search (d) (default)</option> <option value="e">Optimize GAMMA/GAMMAI model/branches (e)</option> <option value="g">Compute per-site log likelihoods for -z trees (g)</option> <option value="h">Compute log likelihood test for -t / -z trees (h)</option> <option value="j">Generate bootstrapped alignment files (j)</option> <option value="J">Compute SH-like support values for the -t tree (J)</option> <option value="m">Compare bipartitions between -t and -z trees (m)</option> <option value="n">Compute log likelihood score for -z trees (n)</option> <option value="o">Use old slower search algorithm (o)</option> <option value="p">Stepwise MP addition of new sequences (p)</option> <option value="q">Fast quartet calculator (q)</option> <option value="r">Compute pairwise RF distances in -z trees (r)</option> <option value="s">Split a multi-gene alignment (s)</option> <option value="S">Compute site-specific placement bias (S)</option> <option value="t">Randomized tree searches on a fixed starting tree (t)</option> <option value="T">Final optimization of a ML tree from a bootstrap (T)</option> <option value="u">Morphological weight calibration using ML on a -t tree (u)</option> <option value="v">Classify environmental sequences (v)</option> <option value="w">Compute ELW-test on -z trees (w)</option> <option value="x">Compute GAMMA model pair-wise ML distances on a tree (x)</option> <option value="y">Classify environmental sequences into a reference tree (y)</option> </param> ## (-F) <param name="save_memory_cat_model" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="ML tree searches under CAT model (-F)" optional="True" help="ML tree searches under CAT model for very large trees without switching to GAMMA in the end (saves memory) and no thorough optimization under GAMMA" /> ## (-g) <param name="groupingfile" format="txt" type="data" label="Multifurcating constraint tree (-g)" optional="True" /> ## (-G) <param name="enable_evol_heuristics" type="float" size="8" label="Enable the ML-based evolutionary placement algorithm heuristics (-G)" help="Enable the ML-based evolutionary placement algorithm heuristics by specifiyng a threshold value (fraction of insertion branches to be evaluated using slow insertions under ML)." optional="True" > <validator type="in_range" message="0.0 <= fraction <= 1.0" min="0.0" max="1.0"/> </param> ## (-i) <param name="initial_rearrangement_setting" type="integer" size="5" value="" label="Initial rearrangement setting (-i)" optional="True" /> ## (-I) <param name="posterior_bootstopping_analysis" type="select" label="Posterior bootstopping analysis (-I)" optional="True"> <option value="" selected="True"></option> <option value="autoFC">Frequency-based criterion (autoFC)</option> <option value="autoMR">Majority-rule consensus tree criterion (autoMR)</option> <option value="autoMRE">Extended majority-rule consensus tree criterion (autoMRE)</option> <option value="autoMRE_IGN">Extended MR consensus tree criterion with bipartitions (autoMRE_IGN)</option> </param> ## (-j) - EMPTY - we cannot handle intermediate tree files in Galaxy ## (-J) <param name="majority_rule_consensus" type="select" label="Compute consensus tree (-J)" optional="True"> <option value="" selected="True"></option> <option value="MR">Majority-rule consensus tree (MR)</option> <option value="MRE">Extended majority-rule consensus tree (MRE)</option> <option value="STRICT">Strict consensus tree (STRICT)</option> <option value="STRICT_DROP">Identify strict dropsets (STRICT_DROP)</option> <option value="MR_DROP">Identify majority-rule dropsets (MR_DROP)</option> </param> ## (-k) <param name="print_branch_lengths" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="Print bootstrapped trees with branch lengths (-k)" help="Specifies that bootstrapped trees should be printed with branch lengths. The bootstraps will run a bit longer, because model parameters will be optimized at the end of each run under GAMMA or GAMMA+P-Invar respectively." optional="True" /> ## (-K) <param name="multistate_sub_model" type="select" label="Specify a multi-state substitution model (-K)" optional="True"> <option value="" selected="true"></option> <option value="GTR">GTR</option> <option value="ORDERED">ORDERED</option> <option value="MK">MK</option> </param> ## (-M) <param name="estimate_individual_branch_lengths" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="Estimate individual per-partition branch lengths (-M)" help="Only has effect with a partition file (-q)." optional="True" /> ## (-n) name is hard-coded to 'galaxy' for more straightforward handling of output files ## (-o) <param name="outgroup_name" type="text" size="40" value="" label="Outgroup name (-o)" help="E.g. Mouse or Mouse,Rat. No spaces between taxon names are allowed." optional="True" /> ## (-O) <param name="disable_undetermined_seq_check" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="Disable check for completely undetermined sequence in alignment (-O)" optional="True" help="Disable the check for completely undetermined sequence in alignment. The program will not exit with an error message when '-O' is specified." /> <param name="external_protein_model" format="txt" type="data" label="External AA substitution model (-P)" help="Specify the file name of a user-defined AA (Protein) substitution model. This file must contain 420 entries, the first 400 being the AA substitution rates (this must be a symmetric matrix) and the last 20 are the empirical base frequencies." optional="True" /> ## (-q) <param name="multiple_model" format="txt" type="data" label="Multiple model assignment to alignment partitions (-q)" optional="True" help="Specify the file name which contains the assignment of models to alignment partitions for multiple models of substitution. For the syntax of this file please consult the manual." /> ## (-r) <param name="constraint_file" format="txt" type="data" label="Binary constraint tree (-r)" optional="True" help="Specify the file name of a binary constraint tree. This tree does not need to be comprehensive, i.e. must not contain all taxa." /> ## (-R) <param name="bin_model_parameter_file" format="txt" type="data" label="Binary model parameter file (-R)" optional="True" help="Specify the file name of a binary model parameter file that has previously been generated with RAxML using the '-f e' tree evaluation option." /> ## (-s) source file option is in the required options section ## (-S) <param name="secondary_structure_file" format="txt" type="data" label="Secondary structure file (-S)" optional="True" help="Specify the name of a secondary structure file. The file can contain '.' for alignment columns that do not form part of a stem and characters '()<>[]{}' to define stem regions and pseudoknots."/> ## (-t) <param name="start_tree_file" format="txt" type="data" label="Starting tree file (-t)" optional="True" help="Specify a user starting tree file name in Newick format." /> ## (-T) is hard-coded in the required options section <param name="use_median_approximation" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="Use the median for the discrete approximation (-u)" help="Use the median for the discrete approximation of the GAMMA model of rate heterogeneity." optional="True" /> ## (-U) <param name="save_memory_gappy_alignments" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="Save memory on large gappy alignments (-U)" help="Try to save memory by using SEV-based implementation for gap columns on large gappy alignments." optional="True" /> ## (-V) <param name="disable_rate_heterogeneity" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="Disable rate heterogeneity (-V)" help="Disable rate heterogeneity among sites model and use one without rate heterogeneity instead. Only works if you specify the CAT model of rate heterogeneity." optional="True" /> ## (-W) <param name="sliding_window_size" type="integer" size="5" value="" label="Sliding window size (-W)" optional="True" help="Sliding window size for leave-one-out site-specific placement bias algorithm. Only effective when used in combination with '-f S'. Default is '100 sites'" /> ## (-x) - see it by the (-b) ## (-y) <param name="parsimony_starting_tree_only" type="boolean" checked="no" truevalue="true" falsevalue="false" display="checkboxes" label="Compute a randomized parsimony starting tree only (-y)" optional="True" help="If you want to only compute a parsimony starting tree with RAxML specify '-y'. The program will exit after computation of the starting tree." /> ## (-z) <param name="file_multiple_trees" format="txt" type="data" label="Multiple trees file (-z)" help="Specify the file name of a file containing multiple trees e.g. from a bootstrap that shall be used to draw bipartition values onto a tree provided with '-t', It can also be used to compute per site log likelihoods in combination with '-f g' and to read a bunch of trees for '-f h', '-f m' and '-f n'." optional="True" /> </when> ## full option list </conditional> ## END $selExtraOpts </inputs> <outputs> <data format="txt" name="info" from_work_dir="RAxML_info.galaxy" label="Info" /> ## REQUIRED <data format="txt" name="logReq" from_work_dir="RAxML_log.galaxy" label="Log"> <filter>(selExtraOpts['extraOptions'] == 'required')</filter> <filter>selExtraOpts['search_algorithm'] != 'a'</filter> </data> <data format="txt" name="bestTreeReq" from_work_dir="RAxML_bestTree.galaxy" label="Best-scoring ML Tree"> <filter>(selExtraOpts['extraOptions'] == 'required')</filter> </data> <data format="txt" name="parsimonyTreeReq" from_work_dir="RAxML_parsimonyTree.galaxy" label="Parsimony Tree"> <filter>(selExtraOpts['extraOptions'] == 'required')</filter> <filter>selExtraOpts['search_algorithm'] != 'a'</filter> </data> <data format="txt" name="resultReq" from_work_dir="RAxML_result.galaxy" label="Result"> <filter>(selExtraOpts['extraOptions'] == 'required')</filter> <filter>selExtraOpts['search_algorithm'] != 'a'</filter> </data> ## ADVANCED <data format="txt" name="randomTree" from_work_dir="RAxML_randomTree.galaxy" label="Random Tree"> <filter>selExtraOpts['search_complete_random_tree'] is True</filter> <filter>selExtraOpts['extraOptions'] == "full"</filter> </data> <data format="txt" name="bestTree" from_work_dir="RAxML_bestTree.galaxy" label="Best-scoring ML Tree"> <filter>(selExtraOpts['extraOptions'] == 'full')</filter> <filter>(selExtraOpts['rapid_bootstrap_random_seed'] == '' or selExtraOpts['bootseed'] == '') and (selExtraOpts['search_algorithm'] == 'a')</filter> <filter>(selExtraOpts['search_algorithm'] != 'b')</filter> <filter>(selExtraOpts['majority_rule_consensus'] == '')</filter> </data> <data format="txt" name="bestTreeMultipleModel" from_work_dir="RAxML_bestTree.galaxy" label="Best-scoring ML Tree"> <filter>(selExtraOpts['extraOptions'] == "full")</filter> <filter>(selExtraOpts['multiple_model'] != '')</filter> </data> <data format="txt" name="bestTreeMultipleModelPartitions" from_work_dir="RAxML_bestTreePartitions.galaxy" label="Best-scoring ML Tree Partitions"> <filter>(selExtraOpts['extraOptions'] == "full")</filter> <filter>selExtraOpts['multiple_model'] is not None </filter> </data> <data format="txt" name="log" from_work_dir="RAxML_log.galaxy" label="Log"> <filter>(selExtraOpts['extraOptions'] == "full")</filter> <filter>(selExtraOpts['rapid_bootstrap_random_seed'] == '')</filter> <filter>(selExtraOpts['bootseed'] == '')</filter> <filter>(selExtraOpts['search_algorithm'] != 'a')</filter> <filter>(selExtraOpts['search_algorithm'] != 'b')</filter> <filter>(selExtraOpts['majority_rule_consensus'] == '') </filter> </data> <data format="txt" name="result" from_work_dir="RAxML_result.galaxy" label="Result"> <filter>(selExtraOpts['extraOptions'] == "full")</filter> <filter>(selExtraOpts['rapid_bootstrap_random_seed'] == '')</filter> <filter>selExtraOpts['bootseed'] == ''</filter> <filter>selExtraOpts['search_algorithm'] != 'a'</filter> <filter>selExtraOpts['search_algorithm'] != 'b'</filter> <filter>(selExtraOpts['majority_rule_consensus'] == '') </filter> </data> <data format="txt" name="resultMultipleModelPartitions" from_work_dir="RAxML_resultPartitions.galaxy" label="Result Partitions"> <filter>(selExtraOpts['extraOptions'] == "full")</filter> <filter>(selExtraOpts['multiple_model'] is not None)</filter> </data> <data format="txt" name="parsimonyTree" from_work_dir="RAxML_parsimonyTree.galaxy" label="Parsimony Tree"> <filter>(selExtraOpts['extraOptions'] == "full")</filter> <filter>(selExtraOpts['rapid_bootstrap_random_seed'] == '')</filter> <filter>(selExtraOpts['bootseed'] == '')</filter> <filter>(selExtraOpts['search_algorithm'] != 'a')</filter> <filter>(selExtraOpts['constraint_file'] is None)</filter> <filter>(selExtraOpts['groupingfile'] is None)</filter> <filter>(selExtraOpts['search_complete_random_tree'] is False)</filter> <filter>(selExtraOpts['start_tree_file'] is None)</filter> <filter>(selExtraOpts['majority_rule_consensus'] == '') </filter> </data> <data format="txt" name="bootstrap" from_work_dir="RAxML_bootstrap.galaxy" label="Final Bootstrap Trees"> <filter>selExtraOpts['extraOptions'] == "full"</filter> <filter>selExtraOpts['number_of_runs'] != '' or selExtraOpts['number_of_runs_bootstop'] != ''</filter> <filter>selExtraOpts['rapid_bootstrap_random_seed'] != '' or selExtraOpts['bootseed'] != ''</filter> </data> <data format="txt" name="bipartitions" from_work_dir="RAxML_bipartitions.galaxy" label="Bipartitions"> <filter>(selExtraOpts['search_algorithm'] == 'b') or ((selExtraOpts['search_algorithm'] == 'a') and (selExtraOpts['rapid_bootstrap_random_seed'] != '')) </filter> <filter>selExtraOpts['extraOptions'] == "full"</filter> </data> <data format="txt" name="bipartitionsBranchLabels" from_work_dir="RAxML_bipartitionsBranchLabels.galaxy" label="Bipartitions Branch Labels"> <filter>selExtraOpts['extraOptions'] == "full"</filter> <filter>(selExtraOpts['search_algorithm'] == 'b') or ((selExtraOpts['search_algorithm'] == 'a') and (selExtraOpts['rapid_bootstrap_random_seed'] != '')) </filter> </data> <data format="txt" name="strictConsensusTree" from_work_dir="RAxML_StrictConsensusTree.galaxy" label="Strict Consensus Tree"> <filter>selExtraOpts['extraOptions'] == "full"</filter> <filter>(selExtraOpts['majority_rule_consensus'] == 'STRICT') </filter> </data> <data format="txt" name="majorityRuleConsensusTree" from_work_dir="RAxML_MajorityRuleConsensusTree.galaxy" label="Majority Rule Consensus Tree"> <filter>selExtraOpts['extraOptions'] == "full"</filter> <filter>(selExtraOpts['majority_rule_consensus'] == 'MR')</filter> </data> <data format="txt" name="majorityRuleExtendedConsensusTree" from_work_dir="RAxML_MajorityRuleExtendedConsensusTree.galaxy" label="Majority Rule Extended Consensus Tree"> <filter>selExtraOpts['extraOptions'] == "full"</filter> <filter>(selExtraOpts['majority_rule_consensus'] == 'MRE')</filter> </data> <data format="txt" name="bipartitionFreq" from_work_dir="RAxML_bipartitionFrequences.galaxy" label="Pair-wise bipartition frequences."> <filter>selExtraOpts['search_algorithm'] == 'm' </filter> <filter>selExtraOpts['extraOptions'] == "full"</filter> </data> <data format="txt" name="perSiteLLs" from_work_dir="RAxML_perSiteLLs.galaxy" label="Per-site likelihood schores"> <filter>selExtraOpts['search_algorithm'] == 'g' </filter> <filter>selExtraOpts['extraOptions'] == "full"</filter> </data> <data format="txt" name="distances" from_work_dir="RAxML_distances.galaxy" label="Pair-wise distances"> <filter>selExtraOpts['search_algorithm'] == 'x' </filter> <filter>selExtraOpts['extraOptions'] == "full"</filter> </data> </outputs> <tests> <test> <!-- test1 --> <!-- raxmlHPC-PTHREADS-SSE3 -T 4 -s raxml_binary.phy -n galaxy -m BINCAT -p 12345 --> <param name="extraOptions" value="required"/> <param name="infile" value="raxml/inputs/raxml_binary.phy"/> <param name="model_type" value="binary"/> <param name="base_model" value="BINCAT"/> <output name="bestTreeReq" file="raxml/test1/RAxML_bestTree.galaxy"/> <output name="parsimonyTreeReq" file="raxml/test1/RAxML_parsimonyTree.galaxy"/> <!-- <output name="info" file="raxml/test1/RAxML_info.galaxy"/> --> <output name="logReq" file="raxml/test1/RAxML_log.galaxy"> <assert_contents> <has_line_matching expression="^0\\..*" /> </assert_contents> </output> <output name="resultReq" file="raxml/test1/RAxML_result.galaxy"> <assert_contents> <has_line_matching expression="Overall\sexecution\stime.*" /> </assert_contents> </output> </test> <!-- <test> --> <!-- test2 --> <!-- raxmlHPC-PTHREADS-SSE3 -T 4 -s raxml_binary.phy -n galaxy -m BINCAT -p 12345 --> <!-- <param name="infile" value="raxml/inputs/raxml_binary.phy"/> <param name="search_model_selector" value="binary"/> <param name="base_model" value="BINCAT"/> <output name="info" file="raxml/test1/RAxML_info.galaxy"/> <output name="logReq" file="raxml/test1/RAxML_log.galaxy"/> <output name="bestTreeReq" file="raxml/test1/RAxML_bestTree.galaxy"/> <output name="parsimonyTreeReq" file="raxml/test1/RAxML_parsimonyTree.galaxy"/> <output name="resultReq" file="raxml/test1/RAxML_result.galaxy"/> --> <!-- </test> --> </tests> <help> Title: ______ Randomized Axelerated Maximum Likelihood Author: _______ Alexandros Stamatakis <alexandros.stamatakis@h-its.org> Description: ____________ RAxML is a program for Maximum Likelihood-based inference of large phylogenetic trees. The program is explicitly being developed to efficiently infer trees for extremely large datasets, either in terms of the number of taxa and/or the sequence length. This wrapper works with the RAxML version 7.3.2. URL: ____ Author's page: http://www.exelixis-lab.org/ Help: http://groups.google.com/group/raxml Citing: _______ Alexandros Stamatakis : “RAxML-VI-HPC: Maximum Likelihood-based Phylogenetic Analyses with Thousands of Taxa and Mixed Models”, Bioinformatics 22(21):2688–2690, 2006. </help> </tool>