title: Statistics of protein library construction.
abstract: 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.
  
  
  BACKGROUND
  Web interface and C++ source code available at http://guinevere.otago.ac.nz/stats.html.
  
  
  BACKGROUND
  Complete mathematical notes, model assumptions and justification, users' guide and worked examples at above website.
authors.affiliation: Department of Biochemistry, University of Otago, PO Box 56, Dunedin, New Zealand. aef@sanger.otago.ac.nz
authors.forename: Andrew E
authors.initials: AE
authors.lastname: Firth
authors.forename: Wayne M
authors.initials: WM
authors.lastname: Patrick
mesh_terms: D000465:Algorithms; D004252:DNA Mutational Analysis / Q000379:methods; D019143:Evolution, Molecular; D008956:Models, Chemical; D008957:Models, Genetic; D015233:Models, Statistical; D019151:Peptide Library; D016133:Polymerase Chain Reaction / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D019151:Peptide Library