Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located.

As methods for measuring spatial gene expression at single-cell resolution become available, there is a need for computational analysis strategies. We present trendsceek, a method based on marked ...

Researchers often work with data corresponding to geographic locations. In these situations, it may be of interest to visualize data and take full advantage of spatial statistical methods in order to ...

This month Genome Research publishes a special issue highlighting novel advances in computational biology. In collaboration ...

A new tool developed by Helmholtz Munich and the German Center for Diabetes Research and the University of Bonn makes spatial ...

Historically, the statistical complexity of modeling spatial relationships in band-recovery data has limited the use of spatial models in the management of waterfowl populations. Consequently, ...