title: FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification.
abstract: BACKGROUND
  FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confidence intervals according to Fieller's theorem.
  
  
  RESULTS
  In order to describe the features of FCI four situations were selected from real data collected during an international external quality assessment program for quantitative assays based on real-time PCR. The code generates a diagnostic figure suitable for assessing the quality of the quantification process.
  
  
  CONCLUSIONS
  We have provided a freeware programme using this algorithm specifically designed to increase the information content of the real-time PCR assay.
authors.affiliation: National Genetics Reference Laboratory (Manchester), St, Mary's Hospital, Manchester, UK. paolo.verderio@istitutotumori.mi.it
authors.forename: Paolo
authors.initials: P
authors.lastname: Verderio
authors.forename: Sara
authors.initials: S
authors.lastname: Pizzamiglio
authors.forename: Fabio
authors.initials: F
authors.lastname: Gallo
authors.forename: Simon C
authors.initials: SC
authors.lastname: Ramsden
mesh_terms: D000465:Algorithms; D004247:DNA / Q000032:analysis* / Q000235:genetics*; D003627:Data Interpretation, Statistical; D011381:Programming Languages; D015203:Reproducibility of Results; D020133:Reverse Transcriptase Polymerase Chain Reaction / Q000379:methods*; D012680:Sensitivity and Specificity; D017422:Sequence Analysis, DNA / Q000379:methods*
chemical_list: D004247:DNA