期刊
BIOINFORMATICS
卷 21, 期 15, 页码 3314-3315出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bti516
关键词
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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 Contact: aef@sanger.otago.ac.nz Supplementary information: Complete mathematical notes, model assumptions and justification, users' guide and worked examples at above website.
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