Michael Rusch

The paper develops ALTitude, a machine learning model to predict ALT status from whole genome sequencing data, identifies SMARCAL1 as a therapeutic target in ALT-driven cancers.

scMINER identifies hidden drivers and network rewiring in single-cell RNA-seq data using mutual information, outperforming existing methods in clustering and network inference.

XenoCP is a cloud-based tool that removes mouse reads from xenograft BAM files to improve RNA-seq and WGS analysis accuracy.

RNAIndel identifies somatic coding indels in tumor RNA-Seq data with high sensitivity and low false positives, outperforming existing methods.

PeCanPIE is a cloud-based platform for annotating and classifying germline variants in pediatric cancer, using ACMG guidelines to rank and classify variants from VCF files.