Methodology article
Computational codon optimization of synthetic gene for protein expression
1 Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117576, Singapore
2 NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, 28 Medical Drive, #05-01, Singapore, 117456, Singapore
3 Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, #06-01 Centros, Singapore, 138668, Singapore
BMC Systems Biology 2012, 6:134 doi:10.1186/1752-0509-6-134
Published: 20 October 2012Additional files
Additional file 1:
List of Sequences. Excel file contains DNA sequences of wild-type high- and low-expression genes; the optimized genes generated by the in silico leave-one-out cross validation are also included.
Format: XLS Size: 5.3MB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 2:
Codon optimization of another set of high-expression genes inE. coli. ICO, CCO and MOCO were carried out using the set of high-expression genes reported in an earlier study [33] to evaluate the relative performance of the methods.
Format: DOC Size: 217KB Download file
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Additional file 3:
Formulation of codon optimization methods. Detailed mathematical formulation of ICO, CCO and MOCO.
Format: DOC Size: 1008KB Download file
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