Evidence map›Paper›PMID 19712446›Full record

ArticleBMC bioinformatics2009

QPCR: Application for real-time PCR data management and analysis.

Stephan Pabinger, Gerhard G Thallinger, René Snajder, Heiko Eichhorn, Robert Rader, Zlatko Trajanoski

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

35 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
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  4. Ultra-Sensitive and Rapid Detection of PathogenicFoods (Basel, Switzerland) · 2022
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  19. A survey of tools for the analysis of quantitative PCR (qPCR) data.Biomolecular detection and quantification · 2014
    Review
  20. Article
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

6 authors at 3 institutions in 1 country.

Stephan PabingerInstitute for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria. stephan.pabinger@tugraz.at
Gerhard G Thallinger
René Snajder
Heiko Eichhorn
Robert Rader
Zlatko Trajanoski
Graz University of Technology · ATBio Forschung Austria · ATChristian Doppler Laboratory for Thermoelectricity · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince its introduction quantitative real-time polymerase chain reaction (qPCR) has become the standard method for quantification of gene expression. Its high sensitivity, large dynamic range, and accuracy led to the development of numerous applications with an increasing number of samples to be analyzed. Data analysis consists of a number of steps, which have to be carried out in several different applications. Currently, no single tool is available which incorporates storage, management, and multiple methods covering the complete analysis pipeline.

resultsQPCR is a versatile web-based Java application that allows to store, manage, and analyze data from relative quantification qPCR experiments. It comprises a parser to import generated data from qPCR instruments and includes a variety of analysis methods to calculate cycle-threshold and amplification efficiency values. The analysis pipeline includes technical and biological replicate handling, incorporation of sample or gene specific efficiency, normalization using single or multiple reference genes, inter-run calibration, and fold change calculation. Moreover, the application supports assessment of error propagation throughout all analysis steps and allows conducting statistical tests on biological replicates. Results can be visualized in customizable charts and exported for further investigation.

conclusionWe have developed a web-based system designed to enhance and facilitate the analysis of qPCR experiments. It covers the complete analysis workflow combining parsing, analysis, and generation of charts into one single application. The system is freely available at http://genome.tugraz.at/QPCR.

Indexed as

Database Management SystemsSoftwareAlgorithmsComputational BiologyDatabases, GeneticPolymerase Chain ReactionUser-Computer Interface

Identifiers

PMID19712446
PMCPMC2741456
OpenAlexW2115513841

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.