Tool for labs · live online
qPioneer
qPCR analysis in the browser — from plate to report.
An open web app (Python, Streamlit, Plotly) for analysing qPCR on 96- and 384-well plates.
MIT licence
Features
What it does
Data upload
TXT, CSV and XLSX files from 96- and 384-well plates.
Plate layout
Genes, conditions and replicates are marked right on the plate diagram.
Quality control
Finds outliers among technical replicates.
ΔCt and expression
Normalisation to a reference gene and relative expression, 2^−ΔCt.
Statistics
t-tests between conditions with Bonferroni correction.
Interactive charts
Box plots and bar charts with significance marks.
Export
CSV, JSON, Excel and PNG, plus a full report in PDF and HTML.
Your data
Your files stay yours
Files are processed in memory and are not stored on the server. You can save your session to a file and continue later. There is example data, so you can try it without your own.
Part of the qPCR analysis for the research behind the first episode I did in qPioneer, and part in R.