{ "info": { "author": "Dimitrios V. Vavoulis", "author_email": "dimitris.vavoulis@well.ox.ac.uk", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "License :: OSI Approved :: MIT License", "Operating System :: Unix", "Programming Language :: Python :: 2.7", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "**DGEclust** is a program for clustering and differential expression analysis of digital expression data\ngenerated by next-generation sequencing assays, such as RNA-seq, CAGE and others. It takes as input a table\nof count data and it estimates the number and parameters of the clusters supported by the data. At a later stage,\nthese can be used for identifying differentially expressed genes and for gene- and sample-wise clustering of the\noriginal data matrix. Internally, **DGEclust** uses a *Hierarchical Dirichlet Process Mixture Model* for modeling\nover-dispersed count data, combined with a *blocked Gibbs sampler* for efficient Bayesian learning.\n\nThis program is part of the software collection of the [Computational Genomics Group](http://bioinformatics.bris.ac.uk/)\nat the University of Bristol and it is under continuous development. You can find more technical details on the\nstatistical methodologies used in this software in the following papers:\n\n1. http://www.genomebiology.com/2015/16/1/39 (Vavoulis et al., *Genome Biology* 16:39, **2015**)\n2. http://arxiv.org/abs/1301.4144 (Vavoulis & Gough, *J Comput Sci Syst Biol* 7:001-009, **2013**)\n\nFor more information, including bug reports, send an email to or \n\nEnjoy!\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://dvav.me/dgeclust/", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "DGEclust", "package_url": "https://pypi.org/project/DGEclust/", "platform": "UNIX", "project_url": "https://pypi.org/project/DGEclust/", "project_urls": { "Homepage": "http://dvav.me/dgeclust/" }, "release_url": "https://pypi.org/project/DGEclust/17.10.16/", "requires_dist": null, "requires_python": "", "summary": "Hierarchical non-parametric Bayesian clustering of digital expression data", "version": "17.10.16" }, "last_serial": 3252376, "releases": { "15.1.29": [ { "comment_text": "", "digests": { "md5": "c0dda9621539f44b1853cb5dcb23b400", "sha256": "9693a87ce48203a2e7b6aad12062ff0353c58844e1b9c96081f0dc9564c19cd6" }, "downloads": -1, "filename": "DGEclust-15.1.29.tar.gz", "has_sig": false, "md5_digest": "c0dda9621539f44b1853cb5dcb23b400", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10808, "upload_time": "2015-01-29T23:26:05", "url": "https://files.pythonhosted.org/packages/13/13/7c3a750d4e59511dc746cbc1cf03fc14684d0c95b365ef42694775b09c3e/DGEclust-15.1.29.tar.gz" } ], "15.6.7": [ { "comment_text": "", "digests": { "md5": "366561e9a730ee7fd1917efcaee9b4dd", "sha256": "0d9e9ad03c2bb119f67d4870f2b20f609107884cd131c058b7e8823a545e4ace" }, "downloads": -1, "filename": "DGEclust-15.6.7.tar.gz", "has_sig": false, "md5_digest": "366561e9a730ee7fd1917efcaee9b4dd", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10886, "upload_time": "2015-06-07T10:08:25", "url": "https://files.pythonhosted.org/packages/c1/e8/efeb0be96e29bf958237e9f5d102b0945b207076dd0165c1d94373c2b2e4/DGEclust-15.6.7.tar.gz" } ], "17.10.16": [ { "comment_text": "", "digests": { "md5": "ef8cb03045d4b443b04c9d0c64397497", "sha256": "1e8276ec4b9d46cd50b0c7eb5c4ba67fd5db1896273b0185ab5bbdea2f267050" }, "downloads": -1, "filename": "DGEclust-17.10.16.tar.gz", "has_sig": false, "md5_digest": "ef8cb03045d4b443b04c9d0c64397497", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10896, "upload_time": "2017-10-15T23:52:36", "url": "https://files.pythonhosted.org/packages/7f/18/6ca42d86987a58eaeec11c998826f5ccc86da3c30616b0fb4952fab268b1/DGEclust-17.10.16.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "ef8cb03045d4b443b04c9d0c64397497", "sha256": "1e8276ec4b9d46cd50b0c7eb5c4ba67fd5db1896273b0185ab5bbdea2f267050" }, "downloads": -1, "filename": "DGEclust-17.10.16.tar.gz", "has_sig": false, "md5_digest": "ef8cb03045d4b443b04c9d0c64397497", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10896, "upload_time": "2017-10-15T23:52:36", "url": "https://files.pythonhosted.org/packages/7f/18/6ca42d86987a58eaeec11c998826f5ccc86da3c30616b0fb4952fab268b1/DGEclust-17.10.16.tar.gz" } ] }