| Literature DB >> 15932904 |
Andrew E Firth1, Wayne M Patrick.
Abstract
UNLABELLED: 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 website.Entities:
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Year: 2005 PMID: 15932904 DOI: 10.1093/bioinformatics/bti516
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937