Abstract
Motivation: Accounting for biological and practical requirements in DNA sequence design often results in challenging optimization problems. Current software solutions are problem-specific and hard to combine.Results: DNA Chisel is an easy-to-use, easy-to-extend sequence optimization framework allowing to freely define and combine optimization specifications via Python scripts or Genbank annotations.Availability: The framework is available as a web application (https://cuba.genomefoundry.org/sculpt_a_sequence)or open-source Python library (see at https://github.com/Edinburgh-Genome-Foundry/DNAChisel for code and documentation).
Original language | English |
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Article number | btaa558 |
Journal | Bioinformatics |
DOIs | |
Publication status | Published - 9 Jul 2020 |
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Susan Rosser
- School of Biological Sciences - Chair of Synthetic Biology
- Centre for Engineering Biology
Person: Academic: Research Active