Title |
No training required: experimental tests support homology-based DNA assembly as a best practice in synthetic biology
|
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Published in |
Journal of Biological Engineering, June 2015
|
DOI | 10.1186/s13036-015-0006-z |
Pubmed ID | |
Authors |
Afnan Azizi, Wilson Lam, Hilary Phenix, Lioudmila Tepliakova, Ian J Roney, Daniel Jedrysiak, Alex Power, Vaibhav Gupta, Nada Elnour, Martin Hanzel, Alexandra C Tzahristos, Shihab Sarwar, Mads Kærn |
Abstract |
The Registry of Standard Biological Parts imposes sequence constraints to enable DNA assembly using restriction enzymes. Alnahhas et al. (Journal of Biological Engineering 2014, 8:28) recently argued that these constraints should be revised because they impose an unnecessary burden on contributors that use homology-based assembly. To add to this debate, we tested four different homology-based methods, and found that students using these methods on their first attempt have a high probability of success. Because of their ease of use and high success rates, we believe that homology-based assembly is a best practice of Synthetic Biology, and recommend that the Registry implement the changes proposed by Alnahhas et al. to better support their use. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 22% |
Spain | 1 | 11% |
Venezuela, Bolivarian Republic of | 1 | 11% |
United States | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Scientists | 1 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
China | 1 | 3% |
Unknown | 30 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 25% |
Student > Ph. D. Student | 5 | 16% |
Student > Bachelor | 5 | 16% |
Professor | 3 | 9% |
Other | 2 | 6% |
Other | 7 | 22% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 41% |
Biochemistry, Genetics and Molecular Biology | 11 | 34% |
Chemical Engineering | 1 | 3% |
Computer Science | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 2 | 6% |
Unknown | 3 | 9% |