MegaQC works the way you do
Quickly answer questions and monitor long term trends
Explore your data
Interactive plots allow you to reproduce graphs from MultiQC, but with dynamic sample filtering across multiple projects.
How does read-1 sequence quality compare between the NovaSeq and the HiSeq 3000?
Plot metrics
Distribution and comparison plots allow you to study single-value metrics at scale.
Is there a sub-group of samples with low Ts/Tv variant rates?
Does sample GC content correlate with alignment rate?
Monitor trends
Trend plots allow you to track metrics over time and spot outliers or long-term trends.
Has the read coverage of the capture regions changed over the past six months?
Build dashboards
A drag-and-drop interface allows you to quickly and easily build dashboards showing your favourite plots.
Computer: Status update please.
Easy to install
Built using the Python Flask framework with support for any SQL database backend.
Quick testing on my laptop with flask and SQLite
Production installation using Docker image with Gunicorn and PostgreSQL
Multiple users
User accounts let people create their own favourite plots and dashboards.
Jack runs the sequencers and keeps an eye on the yield
Jill preps RNA libraries and monitors rRNA content