Statistical significance of quantitative PCR
- Karlen, Yann Institute of Biotechnology, University of Lausanne, Switzerland
- McNair, Alan Institute of Biotechnology, University of Lausanne, Switzerland
- Perseguers, Sébastien Max-Planck-Institute für Quantenoptik, Garching, Germany
- Mazza, Christian Department of Mathematics, University of Fribourg, Switzerland
- Mermod, Nicolas Institute of Biotechnology, University of Lausanne, Switzerland
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22.04.2007
Published in:
- BMC Bioinformatics. - 2007, vol. 8, p. 131
English
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection and processing strategies have been described for the implementation of quantitative PCR. However, they can be experimentally cumbersome, their relative performances have not been evaluated systematically, and they... Show more…
- Faculty
- Faculté des sciences et de médecine
- Department
- Département de Mathématiques
- Language
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- English
- Classification
- Biology
- License
- License undefined
- Identifiers
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- RERO DOC 8671
- DOI 10.1186/1471-2105-8-131
- Persistent URL
- https://folia.unifr.ch/unifr/documents/300540