Evidence map›Paper›PMID 27920994›Full record

ReviewBiomolecular detection and quantification2014

A survey of tools for the analysis of quantitative PCR (qPCR) data.

Stephan Pabinger, Stefan Rödiger, Albert Kriegner, Klemens Vierlinger, Andreas Weinhäusel

Abstract readReview
In one paragraph

Review in Biomolecular detection and quantification, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Transcriptome Complexity Disentangled: A Regulatory Molecules Approach.International journal of molecular sciences · 2025
    Article
  12. Review
  13. Article
  14. Current rates ofFrontiers in cellular and infection microbiology · 2025
    Article
  15. Article
  16. Article
  17. Challenges and opportunities in processing NanoString nCounter data.Computational and structural biotechnology journal · 2024
    Review
  18. Detection ofMicroorganisms · 2024
    Article
  19. Article
  20. Embryonic methionine triggers post-natal developmental programming in Japanese quail.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2024
    Article

26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stephan PabingerHealth & Environment Department, Molecular Diagnostics, AIT - Austrian Institute of Technology, Muthgasse 11, 1190 Vienna, Austria.
Stefan RödigerFaculty of Natural Sciences, InnoProfile Group "Image-based Assays", Brandenburg University of Technology Cottbus - Senftenberg, Großenhainer Straße 57, 01968 Senftenberg, Germany.
Albert KriegnerHealth & Environment Department, Molecular Diagnostics, AIT - Austrian Institute of Technology, Muthgasse 11, 1190 Vienna, Austria.
Klemens VierlingerHealth & Environment Department, Molecular Diagnostics, AIT - Austrian Institute of Technology, Muthgasse 11, 1190 Vienna, Austria.
Andreas WeinhäuselHealth & Environment Department, Molecular Diagnostics, AIT - Austrian Institute of Technology, Muthgasse 11, 1190 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time quantitative polymerase-chain-reaction (qPCR) is a standard technique in most laboratories used for various applications in basic research. Analysis of qPCR data is a crucial part of the entire experiment, which has led to the development of a plethora of methods. The released tools either cover specific parts of the workflow or provide complete analysis solutions. Here, we surveyed 27 open-access software packages and tools for the analysis of qPCR data. The survey includes 8 Microsoft Windows, 5 web-based, 9 R-based and 5 tools from other platforms. Reviewed packages and tools support the analysis of different qPCR applications, such as RNA quantification, DNA methylation, genotyping, identification of copy number variations, and digital PCR. We report an overview of the functionality, features and specific requirements of the individual software tools, such as data exchange formats, availability of a graphical user interface, included procedures for graphical data presentation, and offered statistical methods. In addition, we provide an overview about quantification strategies, and report various applications of qPCR. Our comprehensive survey showed that most tools use their own file format and only a fraction of the currently existing tools support the standardized data exchange format RDML. To allow a more streamlined and comparable analysis of qPCR data, more vendors and tools need to adapt the standardized format to encourage the exchange of data between instrument software, analysis tools, and researchers.

Indexed as

Data analysisMIQEqPCRRDMLSoftwareTools

Identifiers

PMID27920994
PMCPMC5129434

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.