FusionHunter: Identifying fusion transcripts in cancer using paired-end RNA-seq

Yang Li, Jeremy Chien, David I. Smith, Jian Ma

Research output: Contribution to journalArticlepeer-review


Motivation: Fusion transcripts can be created as a result of genome rearrangement in cancer. Some of them play important roles in carcinogenesis, and can serve as diagnostic and therapeutic targets. With more and more cancer genomes being sequenced by next-generation sequencing technologies, we believe an efficient tool for reliably identifying fusion transcripts will be desirable for many groups.Results: We designed and implemented an open-source software tool, called FusionHunter, which reliably identifies fusion transcripts from transcriptional analysis of paired-end RNA-seq. We show that FusionHunter can accurately detect fusions that were previously confirmed by RT-PCR in a publicly available dataset. The purpose of FusionHunter is to identify potential fusions with high sensitivity and specificity and to guide further functional validation in the laboratory.

Original languageEnglish (US)
Article numberbtr265
Pages (from-to)1708-1710
Number of pages3
Issue number12
StatePublished - Jun 2011

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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