---
_id: '3422'
abstract:
- lang: eng
  text: Quantitative real-time PCR represents a highly sensitive and powerful technique
    for the quantitation of nucleic acids. It has a tremendous potential for the high-throughput
    analysis of gene expression in research and routine diagnostics. However, the
    major hurdle is not the practical performance of the experiments themselves but
    rather the efficient evaluation and the mathematical and statistical analysis
    of the enormous amount of data gained by this technology, as these functions are
    not included in the software provided by the manufacturers of the detection systems.
    In this work, we focus on the mathematical evaluation and analysis of the data
    generated by quantitative real-time PCR, the calculation of the final results,
    the propagation of experimental variation of the measured values to the final
    results, and the statistical analysis. We developed a Microsoft Excel-based software
    application coded in Visual Basic for Applications, called Q-Gene, which addresses
    these points. Q-Gene manages and expedites the planning, performance, and evaluation
    of quantitative real-time PCR experiments, as well as the mathematical and statistical
    analysis, storage, and graphical presentation of the data. The Q-Gene software
    application is a tool to cope with complex quantitative real-time PCR experiments
    at a high-throughput scale and considerably expedites and rationalizes the experimental
    setup, data analysis, and data management while ensuring highest reproducibility.
article_processing_charge: No
article_type: original
author:
- first_name: Patrick
  full_name: Müller, Patrick
  last_name: Müller
- first_name: Harald L
  full_name: Janovjak, Harald L
  id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
  last_name: Janovjak
  orcid: 0000-0002-8023-9315
- first_name: Andre
  full_name: Miserez, Andre
  last_name: Miserez
- first_name: Zuzana
  full_name: Dobbie, Zuzana
  last_name: Dobbie
citation:
  ama: Müller P, Janovjak HL, Miserez A, Dobbie Z. Processing of gene expression data
    generated by quantitative real-time RT-PCR. <i>Biotechniques</i>. 2002;32(6):1372-1379.
  apa: Müller, P., Janovjak, H. L., Miserez, A., &#38; Dobbie, Z. (2002). Processing
    of gene expression data generated by quantitative real-time RT-PCR. <i>Biotechniques</i>.
    Informa Healthcare.
  chicago: Müller, Patrick, Harald L Janovjak, Andre Miserez, and Zuzana Dobbie. “Processing
    of Gene Expression Data Generated by Quantitative Real-Time RT-PCR.” <i>Biotechniques</i>.
    Informa Healthcare, 2002.
  ieee: P. Müller, H. L. Janovjak, A. Miserez, and Z. Dobbie, “Processing of gene
    expression data generated by quantitative real-time RT-PCR,” <i>Biotechniques</i>,
    vol. 32, no. 6. Informa Healthcare, pp. 1372–1379, 2002.
  ista: Müller P, Janovjak HL, Miserez A, Dobbie Z. 2002. Processing of gene expression
    data generated by quantitative real-time RT-PCR. Biotechniques. 32(6), 1372–1379.
  mla: Müller, Patrick, et al. “Processing of Gene Expression Data Generated by Quantitative
    Real-Time RT-PCR.” <i>Biotechniques</i>, vol. 32, no. 6, Informa Healthcare, 2002,
    pp. 1372–79.
  short: P. Müller, H.L. Janovjak, A. Miserez, Z. Dobbie, Biotechniques 32 (2002)
    1372–1379.
date_created: 2018-12-11T12:03:15Z
date_published: 2002-06-01T00:00:00Z
date_updated: 2023-07-17T11:29:06Z
day: '01'
extern: '1'
external_id:
  pmid:
  - '12074169'
intvolume: '        32'
issue: '6'
language:
- iso: eng
month: '06'
oa_version: None
page: 1372 - 1379
pmid: 1
publication: Biotechniques
publication_identifier:
  issn:
  - 0736-6205
publication_status: published
publisher: Informa Healthcare
publist_id: '2979'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Processing of gene expression data generated by quantitative real-time RT-PCR
type: journal_article
user_id: ea97e931-d5af-11eb-85d4-e6957dddbf17
volume: 32
year: '2002'
...