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        "author": "Anna Zhukova",
        "author_email": "anna.zhukova@pasteur.fr",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
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            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Software Development",
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        "description": "# cytopast\n\n__cytopast__ is a python3 module that creates zoomable HTML visualisation of phylogenetic trees with annotated nodes.\n\nGiven a tree and its node annotations, it can either visualise them as-is, \nor apply [PastML](https://github.com/saishikawa/PASTML) to infer ancestral states based on the tip states. \n\nThe states are visualised as different colours of the tree nodes using [Cytoscape.js](http://js.cytoscape.org/)\n\n# Article\n\nFor a detailed description of PastML/cytopast: see Ishikawa SA, Zhukova A, Iwasaki W, Gascuel O (2018) __A Fast Likelihood Method to Reconstruct and Visualize Ancestral Scenarios__ [[bioRxiv]](https://doi.org/10.1101/379529).\n\n# Input data\nAs an input, one needs to provide a **rooted** phylogenetical tree in [newick](https://en.wikipedia.org/wiki/Newick_format) format,\nand a table containing tip states, \nin tab-delimited (by default) or csv format (to be specified with *--data_sep ,* option).\n\n### Example\nYou can download [HIV1-A in Albania data](examples/Albania/data) as an example.\nLet's assume that the tree and annotation files are in the Downloads folder, \nand are named respectively Albanian.tree.152tax.tre\tand data.txt.\n\nThe data.txt is a comma-separated file, containing tip ids in the first column, \nand Country in the second column, i.e.:\n\nid | Country\n----- |  -----\n98CMAJ6932 | Africa\n98CMAJ6933 | Africa\n96CMAJ6134 | Africa\n00SEAY5240 | WestEurope\n... | ...\n02GRAY0303 | Greece\n97YUAF9960 | EastEurope\n\n# Try it online\nTry it at [pastml.pasteur.fr](https://pastml.pasteur.fr)\n\n# Run it on your computer\n\nThere are 2 alternative ways to run cytopast on your computer: with [docker](https://www.docker.com/community-edition), or in python3.\n\n## Run with docker\n\n### Basic usage\nOnce [docker](https://www.docker.com/community-edition) is installed, run the following command:\n\n```bash\ndocker run -v <path_to_the_folder_containing_the_tree_and_the_annotations>:/data:rw -t evolbioinfo/pastml --tree /data/<tree_file> --data /data/<annotation_file> --data_sep <separator_eg_comma> --columns <one_or_more_column_names> --html_compressed /data/<map_name>\n```\n\nFor example, to reconstruct and visualise the ancestral Country states for Albanian data, \none needs to run the following command:\n\n```bash\ndocker run -v ~/Downloads:/data:rw -t evolbioinfo/pastml --tree /data/Albanian.tree.152tax.tre --data /data/data.txt --data_sep , --columns Country --html_compressed /data/Albanian_map.html \n```\n\nThis will produce a file Albanian_map.html in the Downloads folder, \nthat can be viewed with a browser.\n\n\n### Help\n\nTo see advanced options, run\n```bash\ndocker run -t evolbioinfo/pastml -h\n```\n\n## Run in python3\n\n### Windows\nFor **Windows** users, we recommend installing cytopast via [Cygwin environment](https://www.cygwin.com/).\nFirst instal gcc, gsl, python3 and pip3 from the Cygwin packages. Then install cytopast:\n```bash\npip3 install cytopast\n```\n\n### All other platforms\n\nWe strongly recommend installing cytopast for python via [conda](https://conda.io/docs/), following the procedure described below:\n\n#### Installing with conda\n\nOnce you have conda installed create an environment for cytopast with python3, gcc and gsl:\n\n```bash\nconda create --name cytopast python=3 gcc gsl\n```\n\nThen activate it:\n```bash\nsource activate cytopast\n```\n\nThen install cytopast in it:\n\n```bash\npip install cytopast\n```\n\n#### Installing without conda\n\nInstall [GNU GSL](https://www.gnu.org/software/gsl/), following the instructions provided on GSL website.\n\nThen install cytopast:\n\n```bash\npip3 install cytopast\n```\n\n### Basic usage in a command line\nIf you installed cytopast via conda, do not forget to first activate the dedicated environment, e.g.\n\n```bash\nsource activate cytopast\n```\n\nTo run cytopast:\n\n```bash\ncytopast --tree <path/to/tree_file.nwk> --data <path/to/annotation_file.tab> --columns <one_or_more_column_names> --html_compressed <path/to/output/map.html> --data_sep <separator_eg_comma>\n```\n\nFor example, to reconstruct and visualise the ancestral Country states for Albanian data, \none needs to run the following command:\n\n```bash\ncytopast --tree ~/Downloads/Albanian.tree.152tax.tre --data ~/Downloads/data.txt --data_sep , --columns Country --html_compressed ~/Downloads/Albanian_map.html \n```\n\nThis will produce a file Albanian_map.html in the Downloads folder, \nthat can be viewed with a browser.\n\n### Help\n\nTo see advanced options, run:\n```bash\ncytopast -h\n```\n\n### Basic usage in python3\n```python\nfrom cytopast.pastml_analyser import pastml_pipeline\n\n# Path to the table containing tip/node annotations, in csv or tab format\ndata = \"~/Downloads/data.txt\"\n\n# Path to the tree in newick format\ntree = \"~/Downloads/Albanian.tree.152tax.tre\"\n\n# Columns present in the annotation table,\n# for which we want to reconstruct ancestral states\n# (for Albanian data we only have one column, but multiple columns are also allowed)\ncolumns = ['Country']\n\n# Path to the output compressed map visualisation\nhtml_compressed = \"~/Downloads/Albanian_map.html\"\n\n# (Optional) path to the output tree visualisation\nhtml = \"~/Downloads/Albanian_tree.html\"\n\npastml_pipeline(data=data, data_sep=',', columns=columns, name_column='Country',\n                tree=tree,\n                html_compressed=html_compressed, html=html, \n                verbose=True)\n```\n\n### Examples\n\nSee the [examples folder](https://github.com/evolbioinfo/cytopast/tree/master/examples) for ideas :)\n",
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