Case Study: University of Manchester reveals human-growth patterns with Qlucore Omics Explorer

Reveal human-growth patterns in transcriptomic data

At the University of Manchester, Dr. Adam Stevens and Professor Peter Clayton’s group study human development and childhood growth using transcriptomic and other omics datasets. Their challenge was analyzing large, complex biological data while bridging the gap between statistical methods and biological insight, especially for studies of normal growth and growth disorders.

Qlucore helped the team by implementing Qlucore Omics Explorer, a visually driven analytics platform that lets biologists explore data independently while still offering advanced statistics when needed. Qlucore enabled fast analysis of large datasets, improved interpretation and communication of findings, and made it easier to explain methods to reviewers; the case study notes that the software handled around 400 microarrays with 55,000 data points without slowing down.

University of Manchester

Adam Stevens

Human Development Systems Biologist