mira-moods


Namemira-moods JSON
Version 1.9.4.2 PyPI version JSON
download
home_pagehttps://www.cs.helsinki.fi/group/pssmfind/
SummaryMOODS: Motif Occurrence Detection Suite
upload_time2023-08-29 21:12:15
maintainerJanne H. Korhonen
docs_urlNone
author
requires_python>=3.6
licenseGPLv3 / Biopython license
keywords pwm pssm motif scan
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            MOODS-python 1.9.4.1
====================

Motif Occurrence Detection Suite

https://www.cs.helsinki.fi/group/pssmfind/


Installing from PyPi
--------------------

The quickest way to install MOODS is using pip:

(a) Install the module to your local Python library path:

    pip install --user MOODS-python

(b) Install the module for all users:

    sudo pip install MOODS-python

Installing the MOODS package from PyPi installs the `moods-dna.py` script to
your Python executable directory. Test it by running:

    moods-dna.py --help

(Note that this assumes that the appropriate Python executable directory is in
your path. For example, if you install the package with --user, you can do this
with

    PATH="$PATH:`python -m site --user-base`/bin"

if it doesn't work otherwise.)


Installing from Source
----------------------

Alternatively, you can install MOODS from the source package, for example if you
don't have your pip configured or you just want a quick throwaway install.

(a) If you don't want to bother installing MOODS, you can compile the extensions
    in place and create a symlink under `scripts/`:

    python setup.py build_ext --inplace
    cd scripts
    ln -s ../MOODS/

(b) Install the module to your local Python library path:

    python setup.py install --user

(c) Install the module for all users:

    sudo python setup.py install

You can test MOODS by running the `moods-dna.py` script with
the example data provided with the package:

    cd scripts/
    python moods-dna.py -m example-data/matrices/*.{pfm,adm} -s example-data/seq/chr1-5k-55k.fa -p 0.0001
    python moods-dna.py --help


Documentation
-------------

Documentation on GitHub wiki: https://github.com/jhkorhonen/MOODS/wiki


Copyright and Licence
---------------------

Copyright (C) 2009 by Petri J Martinmäki, Janne Korhonen, Pasi Rastas

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version, or under the terms of the Biopython
License.

            

Raw data

            {
    "_id": null,
    "home_page": "https://www.cs.helsinki.fi/group/pssmfind/",
    "name": "mira-moods",
    "maintainer": "Janne H. Korhonen",
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": "janne.h.korhonen@gmail.com",
    "keywords": "PWM,PSSM,motif scan",
    "author": "",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/ec/90/324a28ba2ecca37d83319e184eccc9a5456f8369d5f033a68adc8bca5715/mira-moods-1.9.4.2.tar.gz",
    "platform": null,
    "description": "MOODS-python 1.9.4.1\n====================\n\nMotif Occurrence Detection Suite\n\nhttps://www.cs.helsinki.fi/group/pssmfind/\n\n\nInstalling from PyPi\n--------------------\n\nThe quickest way to install MOODS is using pip:\n\n(a) Install the module to your local Python library path:\n\n    pip install --user MOODS-python\n\n(b) Install the module for all users:\n\n    sudo pip install MOODS-python\n\nInstalling the MOODS package from PyPi installs the `moods-dna.py` script to\nyour Python executable directory. Test it by running:\n\n    moods-dna.py --help\n\n(Note that this assumes that the appropriate Python executable directory is in\nyour path. For example, if you install the package with --user, you can do this\nwith\n\n    PATH=\"$PATH:`python -m site --user-base`/bin\"\n\nif it doesn't work otherwise.)\n\n\nInstalling from Source\n----------------------\n\nAlternatively, you can install MOODS from the source package, for example if you\ndon't have your pip configured or you just want a quick throwaway install.\n\n(a) If you don't want to bother installing MOODS, you can compile the extensions\n    in place and create a symlink under `scripts/`:\n\n    python setup.py build_ext --inplace\n    cd scripts\n    ln -s ../MOODS/\n\n(b) Install the module to your local Python library path:\n\n    python setup.py install --user\n\n(c) Install the module for all users:\n\n    sudo python setup.py install\n\nYou can test MOODS by running the `moods-dna.py` script with\nthe example data provided with the package:\n\n    cd scripts/\n    python moods-dna.py -m example-data/matrices/*.{pfm,adm} -s example-data/seq/chr1-5k-55k.fa -p 0.0001\n    python moods-dna.py --help\n\n\nDocumentation\n-------------\n\nDocumentation on GitHub wiki: https://github.com/jhkorhonen/MOODS/wiki\n\n\nCopyright and Licence\n---------------------\n\nCopyright (C) 2009 by Petri J Martinm\u00e4ki, Janne Korhonen, Pasi Rastas\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version, or under the terms of the Biopython\nLicense.\n",
    "bugtrack_url": null,
    "license": "GPLv3 / Biopython license",
    "summary": "MOODS: Motif Occurrence Detection Suite",
    "version": "1.9.4.2",
    "project_urls": {
        "Homepage": "https://www.cs.helsinki.fi/group/pssmfind/"
    },
    "split_keywords": [
        "pwm",
        "pssm",
        "motif scan"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "253f6ce2ff5f89f954036e307bf1144483f7ccc5c558c0f6a9c8f140fa8e38af",
                "md5": "b4d7135eff879e9129f4971eb2c58f2f",
                "sha256": "4650c12c70dbeb37ea4f3f4aed62c56d4dada2e5127edc452f4d863fa7ae0038"
            },
            "downloads": -1,
            "filename": "mira_moods-1.9.4.2-cp311-cp311-macosx_10_9_x86_64.whl",
            "has_sig": false,
            "md5_digest": "b4d7135eff879e9129f4971eb2c58f2f",
            "packagetype": "bdist_wheel",
            "python_version": "cp311",
            "requires_python": ">=3.6",
            "size": 564384,
            "upload_time": "2023-08-29T21:12:12",
            "upload_time_iso_8601": "2023-08-29T21:12:12.034138Z",
            "url": "https://files.pythonhosted.org/packages/25/3f/6ce2ff5f89f954036e307bf1144483f7ccc5c558c0f6a9c8f140fa8e38af/mira_moods-1.9.4.2-cp311-cp311-macosx_10_9_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ec90324a28ba2ecca37d83319e184eccc9a5456f8369d5f033a68adc8bca5715",
                "md5": "afcd7d77f9069539d2ca401a6b4cc4dc",
                "sha256": "e694e37c7487286801bffcda3e0576157960007919dd5ceb8b5a1626dc2968e1"
            },
            "downloads": -1,
            "filename": "mira-moods-1.9.4.2.tar.gz",
            "has_sig": false,
            "md5_digest": "afcd7d77f9069539d2ca401a6b4cc4dc",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 253166,
            "upload_time": "2023-08-29T21:12:15",
            "upload_time_iso_8601": "2023-08-29T21:12:15.321995Z",
            "url": "https://files.pythonhosted.org/packages/ec/90/324a28ba2ecca37d83319e184eccc9a5456f8369d5f033a68adc8bca5715/mira-moods-1.9.4.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-08-29 21:12:15",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "mira-moods"
}
        
Elapsed time: 0.13319s