We developed a statistical method for Integrative and Reference-Informed Spatial Domain Detection for Spatial Transcriptomics. IRIS is a reference-informed integrative method for detecting spatial ...

This study introduces two Bioconductor packages, QTLExperiment and multistateQTL, designed to support the analysis of QTL data across multiple biological contexts such as tissues or environmental ...

The pace of omics science in 2026 is remarkable — and sometimes overwhelming. In this issue, we zoom out to ask a bigger question: what does it look like when omics data operates at true scale? From a ...

Since their early association with atopic disease, granulocytes, particularly eosinophils, have been widely used as biomarkers, yet the mechanisms underlying their role in airway and atopic ...

stLearn is designed to comprehensively analyse Spatial Transcriptomics (ST) data to investigate complex biological processes within an undissociated tissue. ST is emerging as the “next generation” of ...