Design of a synthetic yeast genome
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1156
- Type
- D - Journal article
- DOI
-
10.1126/science.aaf4557
- Title of journal
- Science
- Article number
- -
- First page
- 1040
- Volume
- 355
- Issue
- 6329
- ISSN
- 0036-8075
- Open access status
- Deposit exception
- Month of publication
- March
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
11
- Research group(s)
-
A - Artificial Intelligence (AI)
- Citation count
- 202
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This extremely highly-cited Science paper presents the first complete re-design and synthesis of the baker's yeast genome to study evolution in-vivo and provide a chassis for biotech applications. To do that, we developed computer-aided design (CAD) algorithms to 1) introduce DNA elements into the genome, 2) optimise codon usage to generate unique sequences for synthetic DNA identification and 3) a fast-greedy algorithm to optimise the assembly of large DNA fragments. These algorithms are integrated into an open-source software, called BioStudio, which is the first CAD tool for genome engineering. The paper featured in the cover of Science.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -