Chapter title |
Automated Visualization of Genetic Designs Using DNAplotlib
|
---|---|
Book title |
Synthetic Biology
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7795-6_22 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7794-9, 978-1-4939-7795-6
|
Authors |
Bartoli, Vittorio, Dixon, Daniel O R, Gorochowski, Thomas E, Vittorio Bartoli, Daniel O. R. Dixon, Thomas E. Gorochowski |
Abstract |
Visualization of complex genetic systems can help efficiently communicate important design features and clearly illustrate overall structures. To aid in the creation of such diagrams, standards such as the Synthetic Biology Open Language Visual (SBOLv) have been established to ensure that specific symbols and shapes convey the same meaning for genetic parts across the field. Here, we describe several ways that the computational tool DNAplotlib can be used to automate the generation of SBOLv standard-compliant diagrams covering simple genetic designs to large libraries of genetic constructs. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 24% |
Germany | 2 | 12% |
Bolivia, Plurinational State of | 1 | 6% |
Ireland | 1 | 6% |
United States | 1 | 6% |
Denmark | 1 | 6% |
Portugal | 1 | 6% |
Netherlands | 1 | 6% |
Unknown | 5 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 53% |
Members of the public | 6 | 35% |
Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 63% |
Student > Bachelor | 1 | 13% |
Student > Doctoral Student | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 50% |
Agricultural and Biological Sciences | 1 | 13% |
Engineering | 1 | 13% |
Unknown | 2 | 25% |