BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing data

Summary: Despite recent progress, computational tools that identify gene fusions from next-generation whole transcriptome sequencing data are often limited in accuracy and scalability. Here, we present a software package, BreakFusion that combines the strength of reference alignment followed by read-pair analysis and de novo assembly to achieve a good balance in sensitivity, specificity and computational efficiency.

Previous articleGene Fusion Detection tools
Next articleBarnacle
I am an experienced Bio/Cheminformatics Scientist with over 10 years of experience in management and statistical analysis of large datasets and implementations of machine learning approaches. In addition, I am a skilled programmer with affinity with several programming languages including C/C++, Java, and Python.