Skip to main content

A Python implementation of the MoClo system logic.

Project description

A Python implementation of the MoClo system logic.

Source PyPI Travis Docs Codecov Codacy Format License

Requirements

biopython

Sequence handling

PyPI biopython

Source biopython

License biopython

cached-property

Lazy regex evaluation

PyPI cached-property

Source cached-property

License cached-property

six

Python 2/3 compatibility

PyPI six

Source six

License six

Installation

This package is available as a wheel, and can be installed with pip:

$ pip install --user moclo

To see more ways of installing, head over to the Installation page of the online documentation.

Kits

By itself, moclo is not very useful. To be able to simulate MoClo assemblies you can install some of the following toolkits:

  • moclo-ytk: MoClo Yeast ToolKit, John Dueber Lab, and Pichia ToolKit, Volker Sieber Lab

  • moclo-cidar: MoClo CIDAR kit, Douglas Densmore Lab

  • moclo-ecoflex: MoClo EcoFlex, Paul Freemont Lab

  • moclo-ig: Icon Genetics MoClo, Sylvestre Marillonnet Lab

  • moclo-gb3: Golden Braid 3.0, Diego Orzaez Lab

Toolkits ship with concrete implementation of the MoClo logic (using the DNA signatures and restriction enzymes from the reference paper), as well as official sequences obtained from AddGene and manually annotated with higher-quality features. These sequences can be accessed through the moclo.registry module, using the registry interface.

About

This library is licensed under the MIT License. It was developed during a placement at the InBio team at the Institut Pasteur of Paris during the summer of 2018.

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

moclo-0.4.7.zip (31.8 kB view details)

Uploaded Source

Built Distribution

moclo-0.4.7-py2.py3-none-any.whl (24.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file moclo-0.4.7.zip.

File metadata

  • Download URL: moclo-0.4.7.zip
  • Upload date:
  • Size: 31.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for moclo-0.4.7.zip
Algorithm Hash digest
SHA256 44232315ee74206dcf6e985a7037e1ab1c0acf8087cd2ff0b0bb7f9030fa7bf6
MD5 193b399aa3b84611123789cab5e8f078
BLAKE2b-256 5ffe2d7851a6ea87b07aad7595bf0d99ef1bfa0274b21c23adcd7a4ba4b5f49a

See more details on using hashes here.

File details

Details for the file moclo-0.4.7-py2.py3-none-any.whl.

File metadata

  • Download URL: moclo-0.4.7-py2.py3-none-any.whl
  • Upload date:
  • Size: 24.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for moclo-0.4.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 b156e144c01a7894cb5dad88138a3f77f5cd1492494838f9bfbbecd8ba00c77d
MD5 678ec5f18db2a145e5eb144f5690b41b
BLAKE2b-256 f65cd80dcfa1da23599b2c82a8e28130b7e6c61e1a39b9aad87e2faa13fcb84d

See more details on using hashes here.

Supported by

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