Document Detail


Rotation algorithm for determining cycle thresholds in Real-Time Polymerase Chain Reactions.
MedLine Citation:
PMID:  18002372     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The Real Time-Polymerase Chain Reaction (RT-PCR) is a methodology that is widely used to amplify and quantify specific sections of nucleic acid strands. A key aspect of RT-PCR is to determine the reaction cycle that produces a positive PCR signal. This cycle is proportional to the relative concentration of nucleic acid and produces a linear curve when plotted vs. the log of the sample concentration. The cycle that produces a positive PCR signal is called the elbow or more precisely the Cycle Threshold (Ct) value. This paper describes a novel Rotation Algorithm that determines the Ct value and is less susceptible to signal interferences.
Authors:
Ronald T Kurnik
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  2007     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-16     Completed Date:  2008-04-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1977-80     Citation Subset:  IM    
Affiliation:
Roche Molecular Systems, Pleasanton, CA 94588, USA. ronald.kurnik@roche.com
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Computational Biology / instrumentation,  methods*
Mathematics
Models, Statistical
Models, Theoretical
Reproducibility of Results
Reverse Transcriptase Polymerase Chain Reaction / instrumentation*,  methods*
Sequence Analysis, DNA / methods
Signal Processing, Computer-Assisted*
Spectrometry, Fluorescence
Temperature
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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