Evidence map›Paper›PMID 41112768›Full record

ArticlePeerJ2025

rtpcr: a package for statistical analysis and graphical presentation of qPCR data in R.

Ghader Mirzaghaderi

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Ghader MirzaghaderiPlant Production and Genetics, University of Kurdistan, Sanandaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quantitative real-time polymerase chain reaction (qRT-PCR or qPCR) is widely used in molecular biology research. Various analysis methods are employed to interpret qPCR data and measure mRNA levels of target genes under different experimental conditions. Results: The rtpcr package was developed for amplification efficiency calculation, statistical analysis, and graphical presentation of qPCR data in R. It uses a general calculation methodology that accommodates up to two reference genes and amplification efficiency values, including the Pfaffl method. Depending on the experimental design, rtpcr functions apply a Conclusions: In summary, the rtpcr package is a useful and user-friendly tool for analyzing real-time PCR data from experiments involving up to three different factors. Built on a general methodology, it provides robust calculations and comprehensive graphical outputs, making it a valuable resource for researchers working with qPCR data.

Indexed as

Real-Time Polymerase Chain ReactionSoftwareComputer GraphicsData Interpretation, StatisticalHumansBar plotData analysisFold changeQuantitative PCRRelative expression

Identifiers

PMID41112768
PMCPMC12530193

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.