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Bioinformatics Advance Access published online on June 2, 2005

Bioinformatics, doi:10.1093/bioinformatics/bti516
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© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received April 14, 2005
Revised May 21, 2005
Accepted May 23, 2005

Applications note

Statistics of protein library construction

Andrew E. Firth 1* and Wayne M. Patrick 2

1 Department of Biochemistry, University of Otago, PO Box 56, Dunedin, New Zealand
2 Center for Fundamental and Applied Molecular Evolution, Emory University, Atlanta, Georgia 30322, USA

* To whom correspondence should be addressed.
Andrew E. Firth, E-mail: aef{at}sanger.otago.ac.nz


   Abstract

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.


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