Erik M Lehnert

This paper introduces a service for automated cell type annotation in scRNA-seq data using reverse search against a curated database, providing both fine-grained and coarse annotations without relying on predefined markers.

DEEPEST improves gene fusion detection in cancer by reducing false positives and identifying new oncogenic RNA drivers using statistical methods.

SeqOthello enables efficient querying of large RNA-seq datasets to identify known and novel fusion events with high accuracy and portability.