DNA Chisel

DNA Chisel optimizes DNA sequences to satisfy user-defined biological and practical constraints for sequence design.

Key Features:

• Python library: Provides a Python library exposing programmatic definition and combination of sequence optimization specifications.
• Specification classes: Is structured around over 15 classes of sequence specifications that cover diverse constraints.
• Composable constraints: Allows composition of multiple specifications to express combined constraints and objectives.
• Input formats: Accepts optimization specifications via Python scripts or GenBank annotations.
• Optimization objectives: Supports codon optimization, adherence to commercial DNA synthesis provider requirements, homology avoidance, and GC content tuning.
• Multi-objective optimization: Performs simultaneous optimization across multiple objectives.
• Biological and practical constraints: Accommodates both biological constraints and practical considerations for DNA design.

Scientific Applications:

• Codon optimization: Optimize coding sequences to alter codon usage for expression or host preference.
• Commercial synthesis compliance: Adjust sequences to meet commercial DNA synthesis provider requirements.
• Homology avoidance: Design sequences that avoid specified homologies to reduce unwanted recombination or off-target effects.
• GC content tuning: Control local or global GC content to meet stability, expression, or synthesis constraints.
• Synthetic biology and genetic engineering: Generate DNA designs that satisfy multiple simultaneous constraints for engineering applications.

Methodology:

Optimization is performed by defining and composing sequence specifications (over 15 classes) into combined constraints, with specifications provided via Python scripts or GenBank annotations.