{ "info": { "author": "Benjamin Lee", "author_email": "benjamin_lee@college.harvard.edu", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Science/Research", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "Python Codon Adaptation Index\n=============================\n|DOI| |Docs| |Travis| |CodeFactor| |PyPI|\n\nAn implementation of `Sharp and Li's 1987\nformulation `_\nof the `codon adaption index\n`_.\n\nInstallation\n------------\n\nThis module is available from PyPI and can be downloaded with the following command::\n\n\t$ pip install CAI\n\nTo install the latest development version::\n\n\t$ pip install git+https://github.com/Benjamin-Lee/CodonAdaptationIndex.git\n\n.. _quickstart:\n\nQuickstart\n----------\n\nFinding the CAI of a sequence is easy::\n\n\t>>> from CAI import CAI\n\t>>> CAI(\"ATG...\", reference=[\"ATGTTT...\", \"ATGCGC...\",...])\n\t0.24948128951724224\n\nSimilarly, from the command line::\n\n\t$ CAI -s sequence.fasta -r reference_sequences.fasta\n\t0.24948128951724224\n\nDetermining which sequences to use as the reference set is left to the user,\nthough the `HEG-DB `_ is a great resource of\nhighly expressed genes.\n\nContributing and Getting Support\n--------------------------------\n\nIf you encounter any issues using CAI, feel free to `create an issue\n`_.\n\nTo contribute to the project, please `create a pull request\n`_. For more\ninformation on how to do so, please look at GitHub's `documentation on pull\nrequests `_.\n\nCitation\n--------\n\nLee, B. D. (2018). Python Implementation of Codon Adaptation Index. *Journal of\nOpen Source Software, 3*(30), 905. `https://doi.org/10.21105/joss.00905\n`_\n\n```\n@article{Lee2018,\n doi = {10.21105/joss.00905},\n url = {https://doi.org/10.21105/joss.00905},\n year = {2018},\n month = {oct},\n publisher = {The Open Journal},\n volume = {3},\n number = {30},\n pages = {905},\n author = {Benjamin D. Lee},\n title = {Python Implementation of Codon Adaptation Index},\n journal = {Journal of Open Source Software}\n}\n```\n\nContact\n-------\n\nI'm available for contact at\n`benjamin_lee@college.harvard.edu `_.\n\nReference\n---------\n\nSharp, P. M., & Li, W. H. (1987). The codon adaptation index--a measure of\ndirectional synonymous codon usage bias, and its potential applications.\n*Nucleic Acids Research*, 15(3), 1281\u20131295.\n\n.. |DOI| image:: http://joss.theoj.org/papers/8adf6bd9fd6391d5343d15ea0b6b6525/status.svg\n\t:target: http://joss.theoj.org/papers/8adf6bd9fd6391d5343d15ea0b6b6525\n\n.. |Docs| image:: https://readthedocs.org/projects/cai/badge/?version=latest\n\t:target: https://cai.readthedocs.io/en/latest/?badge=latest\n\t:alt: Documentation Status\n\n.. |Travis| image:: https://travis-ci.org/Benjamin-Lee/CodonAdaptationIndex.svg?branch=master\n\t:target: https://travis-ci.org/Benjamin-Lee/CodonAdaptationIndex\n\n.. |CodeFactor| image:: https://www.codefactor.io/repository/github/benjamin-lee/codonadaptationindex/badge/master\n\t:target: https://www.codefactor.io/repository/github/benjamin-lee/codonadaptationindex/overview/master\n\n.. |PyPI| image:: https://img.shields.io/pypi/v/CAI.svg\n\t:target: https://pypi.org/project/CAI/\n", 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