Bengt Sennblad

The paper optimizes MASC-seq for single-cell transcriptomics and imaging of microbial eukaryotic plankton, showing promise but limitations in resolving small cells.

The paper identifies metabolically distinct groups using genetic overlap between schizophrenia and cardiometabolic disease in two cohorts.

Conbase identifies clonal somatic mutations in single cells using read phasing, validated on simulated data and human samples.

The paper introduces a model for reconstructing gene and domain evolution using a species tree, showing it outperforms existing methods on synthetic and biological data.