SATQPCR: Website for statistical analysis of real-time quantitative PCR data

Corinne Rancurel; Trang van Tran; Céline Elie; Frédérique Hilliou

doi:10.1016/j.mcp.2019.07.001

SATQPCR: Website for statistical analysis of real-time quantitative PCR data

Mol Cell Probes. 2019 Aug:46:101418. doi: 10.1016/j.mcp.2019.07.001. Epub 2019 Jul 5.

Authors

Corinne Rancurel¹, Trang van Tran², Céline Elie³, Frédérique Hilliou⁴

Affiliations

¹ INRA/CNRS/UCA ISA, 06903, 400 route des Chappes, BP167, Sophia Antipolis, France. Electronic address: corinne.rancurel@inra.fr.
² BIOASTER, 40 Avenue Tony Garnier, 69007, Lyon, France. Electronic address: trvtrang@yahoo.fr.
³ BIOASTER, 40 Avenue Tony Garnier, 69007, Lyon, France. Electronic address: celine.elie1@gmail.com.
⁴ INRA/CNRS/UCA ISA, 06903, 400 route des Chappes, BP167, Sophia Antipolis, France. Electronic address: frederique.hilliou@inra.fr.

PMID: 31283967
DOI: 10.1016/j.mcp.2019.07.001

Abstract

SATQPCR is a web tool providing statistical analysis of real-time quantitative PCR data including all MIQE rules (gene efficiency, selection of reference genes and normalization with them). Our application is a quick tool that provides to the biologist, graphs as well as statistical tables summarizing their results with the chosen methods (t-test or ANOVA with Tukey test). The application is available at http://satqpcr.sophia.inra.fr with a demo dataset. Source code can be found at https://framagit.org/. SUPPLEMENTARY INFORMATION: Tutorials at http://satqpcr.sophia.inra.fr/cgi/help.cgi.

Keywords: Data analysis; MIQE; Real-time quantitative PCR; Statistics; Transcriptomic; Web-application.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Internet*
Real-Time Polymerase Chain Reaction / methods
Real-Time Polymerase Chain Reaction / statistics & numerical data*
Software / statistics & numerical data*