ReviewNucleic acids research2012
Validation of kinetics similarity in qPCR.
Review in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Antiviral drug research for Japanese encephalitis: an updated review.Pharmacological reports : PR · 2022Review
- Tutorial: Guidelines for Single-Cell RT-qPCR.Cells · 2021Review
- Autoregressive modeling and diagnostics for qPCR amplification.Bioinformatics (Oxford, England) · 2021Article
- Article
- Integrative Survey of 68 Non-overlapping Upstate New York Watersheds Reveals Stream Features Associated With Aquatic Fecal Contamination.Frontiers in microbiology · 2021Article
- Point-of-Care Devices to Detect Zika and Other Emerging Viruses.Annual review of biomedical engineering · 2020Review
- Pairwise efficiency: a new mathematical approach to qPCR data analysis increases the precision of the calibration curve assay.BMC bioinformatics · 2019Article
- Assessment of Toxoplasma gondii levels in zebra mussel (Dreissena polymorpha) by real-time PCR: an organotropism study.Environmental science and pollution research international · 2015Article
- How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments.Biomolecular detection and quantification · 2015Article
- Multi-template polymerase chain reaction.Biomolecular detection and quantification · 2014Review
- Article
- Adenoviral vector tethering to metal surfaces via hydrolyzable cross-linkers for the modulation of vector release and transduction.Biomaterials · 2013Article
- Accurate and precise DNA quantification in the presence of different amplification efficiencies using an improved Cy0 method.PloS one · 2013Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative real-time PCR (qPCR) is the method of choice for specific and sensitive quantification of nucleic acids. However, data validation is still a major issue, partially due to the complex effect of PCR inhibition on the results. If undetected PCR inhibition may severely impair the accuracy and sensitivity of results. PCR inhibition is addressed by prevention, detection and correction of PCR results. Recently, a new family of computational methods for the detection of PCR inhibition called kinetics outlier detection (KOD) emerged. KOD methods are based on comparison of one or a few kinetic parameters describing a test reaction to those describing a set of reference reactions. Modern KOD can detect PCR inhibition reflected by shift of the amplification curve by merely half a cycle with specificity and sensitivity >90%. Based solely on data analysis, these tools complement measures to improve and control pre-analytics. KOD methods do not require labor and materials, do not affect the reaction accuracy and sensitivity and they can be automated for fast and reliable quantification. This review describes the background of KOD methods, their principles, assumptions, strengths and limitations. Finally, the review provides recommendations how to use KOD and how to evaluate its performance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.