{ "info": { "author": "Robert F. Murphy", "author_email": "murphy@cmu.edu", "bugtrack_url": null, "classifiers": [], "description": "pyslid for Python\n=================\n\nAbout\n-----\npyslid is a python package that calculates numerical feature sets to describe the subcellular patterns in fluorescence microscope images. The features can be used for image content-based searching in the Open Microscopy Environment using ricerca and OMERO.searcher.\n\nFor more information about pyslid, please visit http://murphylab.web.cmu.edu/software/pyslid/\n\nAuthors\n-------\n| Ivan Cao-Berg, Baek Hwan Cho, Jennifer Bakal and Robert F. Murphy\n| Lane Center for Computational Biology\n| School of Computer Science\n| Carnegie Mellon University\n| http://lane.compbio.cmu.edu/\n\nReferences\n----------\n* B.H. Cho, I. Cao-Berg, J.A. Bakal, and R.F. Murphy (2012) OMERO.searcher: Content-based image search for microscope images. Nature Methods 9:633-634.\n", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://murphylab.web.cmu.edu/software/", "keywords": null, "license": "UNKNOWN", "maintainer": null, "maintainer_email": null, "name": "pyslid", "package_url": "https://pypi.org/project/pyslid/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pyslid/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://murphylab.web.cmu.edu/software/" }, "release_url": "https://pypi.org/project/pyslid/0.1.0/", "requires_dist": null, "requires_python": null, "summary": "Protein Subcellular Location Image Database for OMERO", "version": "0.1.0" }, "last_serial": 999266, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "fc3c71d0e2d8680844dc657e0130e8a2", "sha256": "78201dbe133d8398efd0a7998b8e045ac59bff3f718482aa3b9e4b69b25d9443" }, "downloads": -1, "filename": "pyslid-0.1.0.tar.gz", "has_sig": false, "md5_digest": "fc3c71d0e2d8680844dc657e0130e8a2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 34095, "upload_time": "2014-02-13T16:53:06", "url": "https://files.pythonhosted.org/packages/5b/67/fc21cc37677f875703d326b929ff1dc9ee2a1b83822649af92d4e86269a4/pyslid-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "fc3c71d0e2d8680844dc657e0130e8a2", "sha256": "78201dbe133d8398efd0a7998b8e045ac59bff3f718482aa3b9e4b69b25d9443" }, "downloads": -1, "filename": "pyslid-0.1.0.tar.gz", "has_sig": false, "md5_digest": "fc3c71d0e2d8680844dc657e0130e8a2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 34095, "upload_time": "2014-02-13T16:53:06", "url": "https://files.pythonhosted.org/packages/5b/67/fc21cc37677f875703d326b929ff1dc9ee2a1b83822649af92d4e86269a4/pyslid-0.1.0.tar.gz" } ] }