Namba et al develop a new pipeline called MuSTA to enable the efficient assembly of transcriptome from long-read sequencing data of breast cancer samples. This method enables the authors to discover subtype-specific isoforms, find that fusion transcript structures depend on their genomic context and identify a double-hop fusion that results in aberrant expression of an endogenous retroviral gene.
- Shinichi Namba
- Toshihide Ueno
- Masahito Kawazu
