Skip to main content

DNA overhang design for Golden Gate etc.

Project description

Golden Hinges (full documentation here) is a Python library to find sets of overhangs (also called junctions, or protrusions) for multipart DNA assembly such as Golden Gate assembly.

Given a set of constraints (GC content bounds, differences between overhangs, mandatory and forbidden overhangs) Golden Hinges enables to find:

  • Maximal sets of valid and inter-compatible overhangs.

  • Sequence decompositions (i.e. position of cuts) which produce valid and inter-compatible overhangs, for type-2S DNA assembly.

  • Sequence mutations (subject to constraints) which enable the sequence decomposition, in extreme cases where the original sequence does not allow for such decomposition.

Infos

PIP installation:

pip install goldenhinges

Web documentation:

https://edinburgh-genome-foundry.github.io/GoldenHinges/

Github Page (with examples)

https://github.com/Edinburgh-Genome-Foundry/GoldenHinges

Live demo:

http://cuba.genomefoundry.org/design_overhangs

License: MIT, Copyright Edinburgh Genome Foundry

More biology software

https://raw.githubusercontent.com/Edinburgh-Genome-Foundry/Edinburgh-Genome-Foundry.github.io/master/static/imgs/logos/egf-codon-horizontal.png

Golden Hinges is part of the EGF Codons synthetic biology software suite for DNA design, manufacturing and validation.

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

goldenhinges-0.2.3.tar.gz (39.9 kB view details)

Uploaded Source

Built Distribution

goldenhinges-0.2.3-py3-none-any.whl (18.6 kB view details)

Uploaded Python 3

File details

Details for the file goldenhinges-0.2.3.tar.gz.

File metadata

  • Download URL: goldenhinges-0.2.3.tar.gz
  • Upload date:
  • Size: 39.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for goldenhinges-0.2.3.tar.gz
Algorithm Hash digest
SHA256 a6395f691fa0f9b9ea4ea9a02dbbea4602413ddc3589be9618ee938253a241f7
MD5 c20f641ac4a06516f348268d3df02036
BLAKE2b-256 0b0f5d3753dc9c3d3a0401e8641ad5bf4ffbebdc5f173c8bde8efad24c681a60

See more details on using hashes here.

File details

Details for the file goldenhinges-0.2.3-py3-none-any.whl.

File metadata

File hashes

Hashes for goldenhinges-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c63d93ef96c6c678a74ea82e246c285722277f37eab21141246c527ac736c384
MD5 6ae8804ab77dcc811452597dfc85aff5
BLAKE2b-256 a9821240378844d685a060d538c79b188932c9e5b9c03e82bce4e67be83691fd

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