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.

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-0.3.0.tar.gz (14.3 MB view details)

Uploaded Source

Built Distributions

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

mgkit-0.3.0.macosx-10.11-intel.tar.gz (311.4 kB view details)

Uploaded Source

mgkit-0.3.0-py2-none-any.whl (186.5 kB view details)

Uploaded Python 2

File details

Details for the file mgkit-0.3.0.tar.gz.

File metadata

  • Download URL: mgkit-0.3.0.tar.gz
  • Upload date:
  • Size: 14.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for mgkit-0.3.0.tar.gz
Algorithm Hash digest
SHA256 07738f5bcaf94ea94696ed34852b1f8837012dd3b584349d1b131c21e8e87bfd
MD5 44632a22c6957d694e26418981e51e84
BLAKE2b-256 bd2ba227340be64f3ab18ee4e864b87803f1f613bb700f355bcefd6ea20d3680

See more details on using hashes here.

File details

Details for the file mgkit-0.3.0.macosx-10.11-intel.tar.gz.

File metadata

File hashes

Hashes for mgkit-0.3.0.macosx-10.11-intel.tar.gz
Algorithm Hash digest
SHA256 ab8705e2e89dfca72142008cb8d507df405f1fdc4dbef24aad285159dc2c4ada
MD5 3741b3ac8d6dc5e5c30fe73766e5ac2c
BLAKE2b-256 4a597c098894b744f8f938eae8401f37bafda7460416a674a39d3c31a19dc49d

See more details on using hashes here.

File details

Details for the file mgkit-0.3.0-py2-none-any.whl.

File metadata

File hashes

Hashes for mgkit-0.3.0-py2-none-any.whl
Algorithm Hash digest
SHA256 ef5831c86d2807d4b8a43f51bb58e97f6b6fbb092a7aaee0df4ab294c08862f0
MD5 f1196718bb4096098e4bcfff208d73a6
BLAKE2b-256 519f0009ca2558c00693d16a21914466edaf46a7ccb26dda9b0c6cfe0f8f96e3

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