Optimize DNA sequences under constraints.
DNA Chisel is a Python library to optimize the nucleotides of DNA sequences with respect to a set of constraints and optimization objectives. It can be used for codon-optimizing the genes of a sequence for a particular organism, modifying a sequence to meet the constraints of a DNA provider while preserving genes, and much more.
DNA Chisel comes with more than 15 types of optimizations and constraints and allows users to define new specifications in Python, making the library suitable for a large range of automated sequence design applications, or complex custom design projects.
Example of use
from dnachisel import * # DEFINE THE OPTIMIZATION PROBLEM random_sequence = random_dna_sequence(10000) problem = DnaOptimizationProblem( sequence=random_sequence, constraints=[AvoidPattern(enzyme_="BsaI"), EnforceGCContent(mini=0.3, maxi=0.7, window=50)], objectives=[CodonOptimize(species='e_coli', location=(500, 1300))] ) # 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())
pip install dnachisel
License: MIT, Copyright Edinburgh Genome Foundry
More biology software
DNA Chisel is part of the EGF Codons synthetic biology software suite for DNA design, manufacturing and validation.