{ "info": { "author": "Francesco Rubino", "author_email": "rubino.francesco@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "MGKit: Metagenomics Framework\n=============================\n\n.. image:: https://ci.appveyor.com/api/projects/status/em4e5lb7l69m8jwp/branch/develop\n\nThe aim of this library [#]_ is to provide a series of useful modules and packages to make it easier to build custom pipelines for metagenomics or any kind of bioinformatics analysis. It integrates other well known python libraries in bioinformatics, like `HTSeq `_, `pysam `_, `numpy `_ and `scipy `_.\n\nA tutorial pipeline is provided in the `Documentation `_. Data and scripts used in the documentations are available at [#]_.\n\nA discussion mailing list is available at `mgkit-users `_.\n\nPapers using MGKit\n------------------\n\nRubino, F., Carberry, C., M Waters, S., Kenny, D., McCabe, M. S., & Creevey, C. J. (2017). Divergent functional isoforms drive niche specialisation for nutrient acquisition and use in rumen microbiome. The ISME Journal, 1\u201313. https://doi.org/10.1038/ismej.2016.172\n\nLambert, B. S., Raina, J. B., Fernandez, V. I., Rinke, C., Siboni, N., Rubino, F., \u2026 Stocker, R. (2017). A microfluidics-based in situ chemotaxis assay to study the behaviour of aquatic microbial communities. Nature Microbiology, 2(10), 1344\u20131349. https://doi.org/10.1038/s41564-017-0010-9\n\nHitch, T. C. A., Thomas, B. J., Friedersdorff, J. C. A., Ougham, H., & Creevey, C. J. (2018). Deep sequence analysis reveals the ovine rumen as a reservoir of antibiotic resistance genes. Environmental Pollution, 235, 571\u2013575. https://doi.org/10.1016/j.envpol.2017.12.067\n\nComputational haplotype recovery and long-read validation identifies novel isoforms of industrially relevant enzymes from natural microbial communities\nSamuel M Nicholls, Wayne Aubrey, Arwyn Edwards, Kurt de Grave, Sharon Huws, Leander Schietgat, Andr\u00e9 Soares, Christopher J Creevey, Amanda Clare\nbioRxiv 223404; doi: https://doi.org/10.1101/223404\n\nCiting\n------\n\nRubino, F. and Creevey, C.J. 2014. MGkit: Metagenomic Framework For The Study Of Microbial Communities. . Available at: `figshare `_ [doi:10.6084/m9.figshare.1269288].`\n\na citation is also available using the *mgkit.cite()* function or using the `--cite` option on all scripts included. This will ouput the following\n\nLinks\n-----\n\n.. [#] ``_\n.. 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