DNA Chisel (complete documentation here) is a Python library for optimizing DNA sequences with respect to a set of constraints and optimization objectives. It comes with over 15 classes of sequence specifications which can be composed to, for instance, codon-optimize genes, meet the constraints of a commercial DNA provider, avoid homologies between sequences, tune GC content, or all of this at once!
DNA Chisel also allows users to define their own specifications in Python, making the library suitable for a large range of automated sequence design applications, and complex custom design projects. It can be used as a Python library, a command-line interface, or a web application.
Example of use
from dnachisel import *
# DEFINE THE OPTIMIZATION PROBLEM
some_sequence = random_dna_sequence(10000)
problem = DnaOptimizationProblem(
sequence=some_sequence,
constraints=[
AvoidPattern("BsaI_site"),
EnforceGCContent(mini=0.3, maxi=0.7, window=50),
EnforceTranslation(location=(500, 1400))
],
objectives=[CodonOptimize(species='e_coli', location=(500, 1400))]
)
# SOLVE THE CONSTRAINTS, OPTIMIZE WITH RESPECT TO THE OBJECTIVE
problem.resolve_constraints()
problem.optimize()
# PRINT SUMMARIES TO CHECK THAT CONSTRAINTS PASS
print(problem.constraints_text_summary())
print(problem.objectives_text_summary())
Alternatively, DNA Chisel lets you define problems by annotating a Genbank file. You can also define a problem by annotating directly a Genbank as follows:
See this page for an overview of available specifications.
Infos
PIP installation:
pip install dnachisel[reports]
(you can omit the [reports] suffix if you intend to use dnachisel only for sequence optimization, without generating figures or PDF reports)
Web documentation: https://edinburgh-genome-foundry.github.io/DnaChisel/
Github Page: https://github.com/Edinburgh-Genome-Foundry/DnaChisel
Live demo: http://cuba.genomefoundry.org/sculpt_a_sequence
License: MIT
Copyright 2017 Edinburgh Genome Foundry, University of Edinburgh
More biology software
DNA Chisel is part of the EGF Codons synthetic biology software suite for DNA design, manufacturing and validation.
Release files for dnachisel 3.2.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dnachisel-3.2.16.tar.gz | 116.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dnachisel-3.2.16-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 263.4 kB
Release files / dnachisel-3.2.16.tar.gz
| Download URL | dnachisel-3.2.16.tar.gz |
|---|---|
| Size | 116.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
de872bf5c92b110e0b3c78e09e7bacafa711a3a61ee707449574b5c096974497
|
|
BLAKE2b-256 checksum How to use checksums |
ba843353ca63bdd00c340491b1b04bf5ffbb0fe522bf9989ff91b78fa4b1f648
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 10, 2025.
Transparency logRelease files / dnachisel-3.2.16-py3-none-any.whl
| Download URL | dnachisel-3.2.16-py3-none-any.whl |
|---|---|
| Size | 147.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ec557276867b864a0cedb3b376f59d677c7b25699bbef884acad09131321e76f
|
|
BLAKE2b-256 checksum How to use checksums |
20c01489e78e116c415dca9d6bccd5cc33abbd81810e0cbd8e02eb11e9099f60
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 10, 2025.
Transparency log