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"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/hyphy/ commit 2413d0043c5d263ecfa75ec0f8614e322fb65f99"
author | iuc |
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date | Fri, 08 May 2020 18:41:44 -0400 |
parents | 16b4a3869bd5 |
children | 7dbcce65a8ff |
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<?xml version="1.0"?> <tool id="hyphy_fade" name="HyPhy-FADE" version="@VERSION@+galaxy0"> <description>: FUBAR* Approach to Directional Evolution (*Fast Unconstrained Bayesian Approximation)</description> <macros> <import>macros.xml</import> </macros> <expand macro="requirements"/> <command detect_errors="exit_code"><![CDATA[ ln -s '$input_file' fade_input.fa && ln -s '$input_nhx' fade_input.nhx && hyphy fade --alignment ./fade_input.fa --tree ./fade_input.nhx --branches '$branches' --model '$model' --method '$posteriorEstimationMethod.method' --grid '$grid_points' --concentration_parameter '$concentration' @posteriorEstimationMethod_cmd@ --output '$fade_output' > '$fade_log' ]]></command> <inputs> <param name="input_file" type="data" format="fasta" label="Input amino acid FASTA file"/> <param name="input_nhx" type="data" format="nhx" label="Input rooted newick file"/> <expand macro="branches"/> <expand macro="substitution"/> <expand macro="branches"/> <expand macro="conditional_posteriorEstimationMethod" /> <param name="grid_points" type="integer" value="20" min="5" max="50" label="Grid points"/> <param name="concentration" type="float" value="0.5" min="0.001" max="1" label="Concentration parameter of the Dirichlet prior"/> </inputs> <outputs> <data name="fade_log" format="txt"/> <data name="fade_output" format="hyphy_results.json" /> </outputs> <tests> <test> <param name="input_file" ftype="fasta" value="fade-in1.fa"/> <param name="input_nhx" ftype="nhx" value="fade-in1.nhx"/> <output name="fade_output" file="fade-out1.json" compare="sim_size"/> </test> </tests> <help><![CDATA[ FADE : FUBAR Approach to Directional Evolution ============================================== What question does this method answer? -------------------------------------- Which site(s) in an alignment evolve towards to or away from a particular residue. Recommended Applications ------------------------ Screen protein sequence alignments where the direction of evolution can be resolved (via tree rooting, e.g. using an outgroup) to find sites which evolve differently from a standard protein model (selected by the user), or a gene-average model (GTR) to find evidence of directional selection. Brief description ----------------- FFADE (FUBAR Approach to Directional Evolution) is a fast method to test whether or not a subset of sites in a protein alignment evolve towards a particular residue along a subset of branches at accelerated rates compared to reference model. FADE uses a random effects model and latent Dirichlet allocation (LDA) - inspired approximation methods to allocate sites to rate classes. Input ----- 1. A *FASTA* sequence alignment of protein sequences. 2. A *rooted* phylogenetic tree in the *Newick* format Note: the names of sequences in the alignment must match the names of the sequences in the tree. Output ------ A JSON file with analysis results (http://hyphy.org/resources/json-fields.pdf). A custom visualization module for viewing these results is available (see http://vision.hyphy.org/FADE for an example) Further reading --------------- http://hyphy.org/methods/selection-methods/#FADE Tool options ------------ :: --model The baseline substitution model to use [default] use GTR --branches Which branches should be tested for selection? All [default] : test all branches Internal : test only internal branches (suitable for intra-host pathogen evolution for example, where terminal branches may contain polymorphism data) Leaves: test only terminal (leaf) branches Unlabeled: if the Newick string is labeled using the {} notation, test only branches without explicit labels (see http://hyphy.org/tutorials/phylotree/) --grid The number of grid points Smaller : faster Larger : more precise posterior estimation but slower default value: 20 --method Inference method to use Variational-Bayes : 0-th order Variational Bayes approximation; fastest [default] Metropolis-Hastings : Full Metropolis-Hastings MCMC algorithm; orignal method [slowest] Collapsed-Gibbs : Collapsed Gibbs sampler [intermediate speed] --chains How many MCMC chains to run (does not apply to Variational-Bayes) default value: 5 --chain-length MCMC chain length (does not apply to Variational-Bayes) default value: 2,000,000 --burn-in MCMC chain burn in (does not apply to Variational-Bayes) default value: 1,000,000 --samples MCMC samples to draw (does not apply to Variational-Bayes) default value: 1,000 --concentration_parameter The concentration parameter of the Dirichlet prior default value: 0.5 ]]> </help> <expand macro="citations"> </expand> </tool>