{ "info": { "author": "Eric J. Ma", "author_email": "ericmajinglong@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "# FluGibson\n\n![Travis Status](https://travis-ci.org/ericmjl/flu-gibson.svg)\n\nA tool for designing primers to clone influenza polymerase segments from viral cDNA.\n\n# Installation\n\nThe installation requires the following packages:\n\n1. `networkx`\n2. `biopython`\n3. `pandas` (optional)\n4. `matplotlib` (optional)\n\n*From Github:*\n\n1. Download this repository as a Zip file.\n2. Unzip the file.\n3. In your terminal, navigate to the FluGibson directory.\n4. Run command: `python setup.py install`\n\n*From PyPI:*\n\n1. (if applicable) Switch to your proper Python environment.\n2. Run command: `pip install FluGibson`\n\n*Using Conda:*\n\n1. (if applicable) Switch to your proper Python environment.\n2. Run command: `conda install FluGibson`\n\n# Usage\n\n## Scripted\n\nOne way to use FluGibson is to use the provided script in the `/examples` directory. Copy the script to your working directory. \n\nCreate the FASTA formatted files containing the DNA parts that you want to stitch together. For example, you would use the following FASTA definition to stitch the following 3 parts together:\n\n >PART_1\n >CATCTATCTCTCTACTGCGAGGCTATTCGACTGGCCGTTACTCGCCGGTACGTAGCTCGGTCTCGATCATCAGTACGTCTACGTGTCGTCGTACTTACACGGTCGCTCGGACTGACGTACGTCTACGTCGTCTGACTGA\n\n >PART_2\n >CTACTGTCTGCTGATGGTACGTACGTGAGTACGCGCAGCACAGACACTACTTACTCTCGCGCGAGAGCTATCTACGACTACGTACTCGTCGTACGAGCTGACTGATCGACGTAGCTTGACGTACGTATCACGTACGTATCG\n\n >PART_3\n >CAGCTTCGGCGCGATTACTCTACGAGCACGACGCAGCTGTCGCTGTCTGGTCTACGCTAGCGCTACGACTATCGATCAGCGTCGTACTGACGTGACGCGCATCGACGTTCGGACGTCGTCGTCGTACGACGTCTACGATGC\n\nThe parts will be joined in the order `PART_1-->PART_2-->PART_3`.\n\nTo produce the CSV file that has all of the primers listed, from the command line, run `python compute_primers.py`. You will get a CSV file, named `all_primers.csv`, that will house the primers that you will need to order.\n\n\n# Changelog\n\n## Version 1.2\n\nAdded a class that converts one nucleotide sequence into another, using Gibson assembly primers.", "description_content_type": null, "docs_url": null, "download_url": null, "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/ericmjl/flu-gibson", "keywords": "biology,molecular biology,cloning", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "FluGibson", "package_url": "https://pypi.org/project/FluGibson/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/FluGibson/", "project_urls": { "Homepage": "https://github.com/ericmjl/flu-gibson" }, "release_url": "https://pypi.org/project/FluGibson/1.2/", "requires_dist": null, "requires_python": null, "summary": "A Python package for designing influenza reverse genetics primers using the seamless cloning methods 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