Yang, Kun and Stracquadanio, Giovanni and Luo, Jingchuan and Boeke, Jef D and Bader, Joel S (2016) BioPartsBuilder: a synthetic biology tool for combinatorial assembly of biological parts. Bioinformatics, 32 (6). pp. 937-939. DOI https://doi.org/10.1093/bioinformatics/btv664
Yang, Kun and Stracquadanio, Giovanni and Luo, Jingchuan and Boeke, Jef D and Bader, Joel S (2016) BioPartsBuilder: a synthetic biology tool for combinatorial assembly of biological parts. Bioinformatics, 32 (6). pp. 937-939. DOI https://doi.org/10.1093/bioinformatics/btv664
Yang, Kun and Stracquadanio, Giovanni and Luo, Jingchuan and Boeke, Jef D and Bader, Joel S (2016) BioPartsBuilder: a synthetic biology tool for combinatorial assembly of biological parts. Bioinformatics, 32 (6). pp. 937-939. DOI https://doi.org/10.1093/bioinformatics/btv664
Abstract
<jats:title>Abstract</jats:title> <jats:p>Summary: Combinatorial assembly of DNA elements is an efficient method for building large-scale synthetic pathways from standardized, reusable components. These methods are particularly useful because they enable assembly of multiple DNA fragments in one reaction, at the cost of requiring that each fragment satisfies design constraints. We developed BioPartsBuilder as a biologist-friendly web tool to design biological parts that are compatible with DNA combinatorial assembly methods, such as Golden Gate and related methods. It retrieves biological sequences, enforces compliance with assembly design standards and provides a fabrication plan for each fragment.</jats:p> <jats:p>Availability and implementation: BioPartsBuilder is accessible at http://public.biopartsbuilder.org and an Amazon Web Services image is available from the AWS Market Place (AMI ID: ami-508acf38). Source code is released under the MIT license, and available for download at https://github.com/baderzone/biopartsbuilder.</jats:p> <jats:p>Contact: joel.bader@jhu.edu</jats:p> <jats:p>Supplementary information: Supplementary data are available at Bioinformatics online.</jats:p>
Item Type: | Article |
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Uncontrolled Keywords: | DNA; Programming Languages; Synthetic Biology |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Jan 2017 16:49 |
Last Modified: | 30 Oct 2024 20:40 |
URI: | http://repository.essex.ac.uk/id/eprint/18688 |
Available files
Filename: btv664.pdf
Licence: Creative Commons: Attribution 3.0