Daily Digest

#artificialintelligence 

Recent development of spatial transcriptomic technologies has made it possible to characterize cellular heterogeneity with spatial information. Here, researchers present spatialDWLS, to quantitatively estimate the cell-type composition at each spatial location. They benchmark the performance of spatialDWLS by comparing it with a number of existing deconvolution methods and find that spatialDWLS outperforms the other methods in terms of accuracy and speed. Long-read sequencing (LRS) promises to improve the characterization of structural variants (SVs). Researchers generated LRS data from 3,622 Icelanders and identified a median of 22,636 SVs per individual (a median of 13,353 insertions and 9,474 deletions).