Bioinformatics Advance Access published online on June 2, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti516
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1 Department of Biochemistry, University of Otago, PO Box 56, Dunedin, New Zealand
* To whom correspondence should be addressed.
Summary: We have investigated the statistics associated with constructing and sampling large protein-encoding libraries. Using fairly simple statistics we have written algorithms for estimating the diversity in libraries generated by the most commonly-used protocols, including error-prone PCR, DNA shuffling, StEP PCR, oligonucleotide-directed randomization, MAX randomization, synthetic shuffling, DHR, ADO, and SISDC. Availability: Web interface and C++ source code available at http://guinevere.otago.ac.nz/stats.html. Supplementary information: Complete mathematical notes, model assumptions and justification, users' guide, and worked examples at above web site.
Received April 14, 2005
Revised May 21, 2005
Accepted May 23, 2005
Applications note
Statistics of protein library construction
2 Center for Fundamental and Applied Molecular Evolution, Emory University, Atlanta, Georgia 30322, USA
Andrew E. Firth, E-mail: aef{at}sanger.otago.ac.nz
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