Skip to main content

Metagenomics Framework

Project description

The aim of this library [1] 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.

A tutorial pipeline is provided in the Documentation. Data and scripts used in the documentations are available at [2].

A discussion mailing list is available at mgkit-users.

Papers using MGKit

Rubino, 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, 1–13. https://doi.org/10.1038/ismej.2016.172

Lambert, B. S., Raina, J. B., Fernandez, V. I., Rinke, C., Siboni, N., Rubino, F., … Stocker, R. (2017). A microfluidics-based in situ chemotaxis assay to study the behaviour of aquatic microbial communities. Nature Microbiology, 2(10), 1344–1349. https://doi.org/10.1038/s41564-017-0010-9

Hitch, 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, 571–575. https://doi.org/10.1016/j.envpol.2017.12.067

Computational haplotype recovery and long-read validation identifies novel isoforms of industrially relevant enzymes from natural microbial communities Samuel M Nicholls, Wayne Aubrey, Arwyn Edwards, Kurt de Grave, Sharon Huws, Leander Schietgat, André Soares, Christopher J Creevey, Amanda Clare bioRxiv 223404; doi: https://doi.org/10.1101/223404

Citing

Rubino, F. and Creevey, C.J. 2014. MGkit: Metagenomic Framework For The Study Of Microbial Communities. . Available at: figshare [doi:10.6084/m9.figshare.1269288].`

a citation is also available using the mgkit.cite() function or using the –cite option on all scripts included. This will ouput the following

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mgkit-0.4.2.tar.gz (11.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mgkit-0.4.2-cp37-cp37m-macosx_10_9_x86_64.whl (230.5 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file mgkit-0.4.2.tar.gz.

File metadata

  • Download URL: mgkit-0.4.2.tar.gz
  • Upload date:
  • Size: 11.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191201 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.3

File hashes

Hashes for mgkit-0.4.2.tar.gz
Algorithm Hash digest
SHA256 7bdd19ab58618a5cb6e1c275d0b93adff84a329a0fe9da071ed4c35eab92d325
MD5 cb612f761581c4f0afd0a3b551594f77
BLAKE2b-256 2497ae8e3503289e7d05308575222b95922eaf93534d8b1055ea911e41553f02

See more details on using hashes here.

File details

Details for the file mgkit-0.4.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: mgkit-0.4.2-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 230.5 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191201 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.3

File hashes

Hashes for mgkit-0.4.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b330ee1acce3f92bfaea9af76cf81f667126f9a8faf20a693f89b55a2a55e244
MD5 e819589e92df0938a3e481370aaa9783
BLAKE2b-256 7c604651f7cd1eab088917fed5cc5abc90b6190d7597979c97184d5b41ecefc8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page