{ "info": { "author": "empress development team", "author_email": "cantrell.kalen@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "License :: OSI Approved :: BSD License", "Operating System :: MacOS :: MacOS X", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Bio-Informatics", "Topic :: Software Development :: Libraries" ], "description": "Empress is still in early development and new features to add are currently being explored. If you would like to suggest\nsomething you can email kcantrel@ucsd.edu.\n\n# Installation\nPlease install the following packages in order to run Empress\n\n```\nconda create -n empress pip tornado\nsource activate empress\nconda install -c conda-forge scikit-bio\npip install git+https://github.com/biocore/empress.git\n```\n\n# Run\nType the following commands in the terminal for more information\n\n```\nempress --help\n```\n\nA bit of preprocessing occurs after empress is ran. The following message will appear in the terminal when empress is ready\nto be used. \n\n```\nbuild web server\nserver started at port 8080\n```\n\nThen enter the following in a browsers search bar to launch empress.\n\n```\nhttp://localhost:8080/\n```\n\n# Input Formats\nEmpress takes in as input a Newick file for the tree and a tabular mapping file for the feature metadata.\n\nAn example of a feature metadata file would look like something as follows\n\n```\nID Genome_size Phyla\nOTU_1001 100000 Proteobacteria\nOTU_1002 150201 Firmicutes\nOTU_2001 502051 Actinobacteria\n```\nThe first column of the metadata files must match the ids in the newick file. In the above example ID is what\nthe newick file would use to name the nodes..\nIf a node does not have a name in the newick file, empress will assign it \"yid\" where id is a number corresponding to its\nposition in the tree.\nNote: to make processing metadata easier, empress will remane the first column of the metadata file to Node_id. So in the \nabove example, ID will show up as Node_id in empress.\n\n# To run sample data set\nTo download sample data enter the following in terminal or go into data/primates and manually download the files.\n\n```\nsvn export https://github.com/biocore/empress.git/trunk/data\n```\n\nBoth leaf_metadata.txt and internal_node_metadata.txt are space delimited. To make combining the metadata files easier,\nempress will rename #SequenceID will show up as Node_id in empress.\n\nHere is an exmple of how internal_node_metadata.txt if formatted.\n\n```\nNode_id Intercept_effect_size Phyl_Group[T.Lemur]_effect_size ...\ny0 0.02256030930979693 -0.12709112380267737 ...\ny1 -0.15122058716686135 0.1629544435889327 ...\n.\n.\n.\n```\n\nTo run empress type the following command from within the directory where you downloaded the data file\n\n```\nempress --tree-file tree.nwk --metadata leaf_metadata.txt --additional-metadata internal_node_metadata.txt --clade-field Node_id --main-seperator \" \" --additional-seperator \" \"\n```\n--clade-field is what empress will use in its \"clade color\" feature. Node_id was choosen to better demonstrate this feature.\n\nNote: It doesn't matter which metadata is passed in as metadata and which one is passed in as additional-metadata \n\nAfter a couple of seconds the following will display in the terminal.\n\n```\nbuild web server\nserver started at port 8080\n```\n\nOpen up a browser and type the following into the search bar.\n\n```\nhttp://localhost:8080/\n```", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "", "keywords": "", "license": "BSD", "maintainer": "empress development team", "maintainer_email": "cantrell.kalen@gmail.com", "name": "empress", "package_url": "https://pypi.org/project/empress/", "platform": "", "project_url": "https://pypi.org/project/empress/", "project_urls": null, "release_url": "https://pypi.org/project/empress/0.0.2/", "requires_dist": null, "requires_python": "", "summary": "Phylogenetic visualizations", "version": "0.0.2" }, "last_serial": 4305837, "releases": { "0.0.2": [ { "comment_text": "", "digests": { "md5": "afe9cbed007d1ea5ab2e5a3339738afe", "sha256": "e2702dd07aa452ec647d6eb84b65edaf75ac359f2a877ca9053391195cb5b5d1" }, "downloads": -1, "filename": "empress-0.0.2.tar.gz", "has_sig": false, "md5_digest": "afe9cbed007d1ea5ab2e5a3339738afe", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 104133, "upload_time": "2018-09-24T19:10:16", "url": "https://files.pythonhosted.org/packages/45/58/1c4f3af93703e8bc5ce47df9d0b70979a215d147427fa1083999d5554c59/empress-0.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "afe9cbed007d1ea5ab2e5a3339738afe", "sha256": "e2702dd07aa452ec647d6eb84b65edaf75ac359f2a877ca9053391195cb5b5d1" }, "downloads": -1, "filename": "empress-0.0.2.tar.gz", "has_sig": false, "md5_digest": "afe9cbed007d1ea5ab2e5a3339738afe", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 104133, "upload_time": "2018-09-24T19:10:16", "url": "https://files.pythonhosted.org/packages/45/58/1c4f3af93703e8bc5ce47df9d0b70979a215d147427fa1083999d5554c59/empress-0.0.2.tar.gz" } ] }