Metadata-Version: 2.1
Name: phylopypruner
Version: 0.2.2
Summary: tree-based orthology inference
Home-page: https://gitlab.com/fethalen/phylopypruner
Author: Felix Thalen
Author-email: fe1430th-s@student.lu.se
License: MIT
Description: PhyloPyPruner
        -------------
        
        PhyloPyPruner is a Python package for tree-based orthology inference that is
        used to refine the output of a graph-based approach (e.g.,
        [OrthoMCL](https://www.ncbi.nlm.nih.gov/pubmed/12952885),
        [OrthoFinder](https://www.ncbi.nlm.nih.gov/pubmed/26243257) or
        [HaMStR](https://www.ncbi.nlm.nih.gov/pubmed/19586527)) by removing sequences
        related through gene duplication. In addition to filters and algorithms seen in
        pre-existing tools such as
        [PhyloTreePruner](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3825643/),
        [UPhO](https://academic.oup.com/mbe/article/33/8/2117/2578877),
        [Agalma](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840672/) and
        [Phylogenomic Dataset
        Reconstruction](https://www.ncbi.nlm.nih.gov/pubmed/25158799), this package
        provide new methods for differentiating [contamination-like
        sequences](https://gitlab.com/fethalen/phylopypruner/wikis/About-PhyloPyPruner#contamination-like-issues-)
        from paralogs.
        
        By providing earlier tree-based approaches as a single executable,
        PhyloPyPruner also has a unique combination of features such as:
        
        * allowing polytomies in input trees for all paralogy pruning algorithms
        * collapsing weakly supported nodes into polytomies in combination with all
            paralogy pruning algorithms
        * rooting trees after monophyly masking in combination with the 'largest subtree
            (LS)' paralogy pruning algorithm
        
        PhyloPyPruner is currently under active development and I would appreciate it
        if you try this software on your own data and [leave
        feedback](mailto:felix.thalen.1430@student.lu.se).
        
        See [the Wiki](https://gitlab.com/fethalen/phylopypruner/wikis) for more
        details.
        
        ## Features
        
        * Remove short sequences
        * Remove sequences with a long branch length relative to others
        * Collapse weakly supported nodes into polytomies
        * Prune paralogs using one out of five methods
        * Mask monophylies by keepipng the longest sequence or the sequence with the shortest pairwise distance
        * Root the tree using midpoint or outgroup rooting
        * Calculate and visualize _paralogy frequency (PF)_, the number of paralogs
          for an OTU divided by the number of alignments that said OTU is present in
        * Exclude OTUs with a high PF relative to all OTUs
        * Remove OTUs with an average pairwise distance that is high relative to all
            OTUs
        * Ignore OTUs one-by-one during tree-based orthology inference and identify
            OTUs whose exclusion improves metrics of supermatrix quality such as the
            number of output alignments or missing data
        
        ## Installation
        
        This software runs under both Python 3 and 2.7. There are no external
        dependencies, but [the plotting library Matplotlib](https://matplotlib.org/)
        can be installed for generating paralog frequency plots.
        
        You can install PhyloPyPruner using pip.
        
        ```bash
        pip install --user phylopypruner
        ```
        
        ## Usage
        
        To get a list of options, run the software without any arguments or use the
        `-h` or `--help` flag. PhyloPyPruner requires either a corresponding multiple
        sequence alignment (MSA) in FASTA format and a Newick tree or, the path to a
        directory containing multiple trees and alignments.
        
        **Example 1.** Providing a single corresponding tree and alignment. In this
        case monophyletic masking will be performed by choosing the sequence with the
        shorter pairwise distance to its sister group and paralogy pruning will be done
        using the largest subtree (LS) algorithm.
        
        ```bash
        python -m phylopypruner --msa <filename>.fas --tree <filename>.tre
        ```
        
        **Example 2.** Run PhyloPyPruner for every MSA and tree pair within the
        directory in `<path>`. Don't include orthologs with fewer than 10 OTUs, remove
        sequence shorter than 100 positions, collapse nodes with a support value lower
        than 80% into polytomies, remove branches that are 5 times longer than the
        standard deviation of all branch lengths and remove OTUs with a paralogy
        frequency that is larger than 5 times the standard deviation of the paralogy
        frequency for all OTUs.
        
        ```bash
        python -m phylopypruner --dir <path> --min-taxa 10 --min-len 100 --min-support
        80 --trim-lb 5 --trim-freq-paralogs 5
        ```
        
        **Example 3.** Run PhyloPyPruner for every MSA and tree pair within the
        directory in `<path>`. Mask monophylies by choosing the longest sequence, prune
        paralogs using the maximum inclusion (MI) algorithm, remove OTUs with sequences
        with an average pairwise distance that is 10 times larger than the standard
        deviation of the average pairwise distance of the sequences for all OTUs,
        generate statistics for the removal of OTUs using taxon jackknifing and root at
        the outgroups in `<names of outgroups>`.
        
        ```bash
        python -m phylopypruner --dir <path> --mask longest --prune MI --trim-divergent
        10 --jackknife --outgroup <names of outgroups>
        ```
        
        >>>
        **Note:** Taxon jackknifing multiplies the execution time by the amount of OTUs
        available within each input alignment.
        >>>
        
        FASTA descriptions and Newick names must match and has to be in one of the
        following formats: `OTU|ID` or `OTU@ID`, where `OTU` is the operational
        taxonomical unit (usually the species) and `ID` is a unique annotation or
        sequence identifier. For example: `>Meiomenia_swedmarki|Contig00001_Hsp90`.
        Sequence descriptions and tree names are not allowed to deviate from each
        other. Sequence data needs to be [valid IUPAC nucleotide or amino acid
        sequences](https://www.bioinformatics.org/sms/iupac.html).
        
        <img src="doc/images/output_example.png" alt="Output Example"
        width="650"/>\
        **Figure 1.** Example of what the printed output looks like after running
        PhyloPyPruner with the `--trim-freq-paralogs` flag.
        
        ## Output files
        
        The following files are generated after running this program.
        
        ```
        <output directory>/
        ├── <timestamp>_ppp_summary.csv
        ├── <timestamp>_ppp_ortho_stats.csv
        ├── <timestamp>_ppp_run.log
        ├── <timestamp>_ppp_paralog_freq.csv
        ├── <timestamp>_ppp_paralog_freq.png*
        └── <timestamp>_orthologs/
        │   ├── 1_pruned.fas
        │   ├── 2_pruned.fas
        │   ├── 3_pruned.fas
        │   └── 4_pruned.fas
        ...
        ```
        
        If `<output directory>` has not been specified by the `--output` flag, then
        output files will be stored within the same directory as the input alignment
        file(s). See the [Output files
        section](https://gitlab.com/fethalen/phylopypruner/wikis/Output-Files) within
        [the Wiki](https://gitlab.com/fethalen/phylopypruner/wikis/home) for a more
        detailed
        [explanation](https://gitlab.com/fethalen/phylopypruner/wikis/Output-Files#explanation)
        of each individual output file.
        
        \* – only produced if [Matplotlib](https://matplotlib.org/) is installed
        
        <img src="doc/images/paralog_freq.png" alt="Paralogy Frequency Plot" width="800"/>\
        **Figure 2.** Example of the paralogy frequency (PF) plot.
        
        © [Kocot Lab](https://www.kocotlab.com/) 2018
        
Keywords: orthology inference,orthologs,tree-based,phylogenetics,phylogenomics,orthology
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
