Fast and accurate fusion transcript detection using the Trinity Cancer Transcriptome Analysis Toolkit

摘要: Chromosomal rearrangements leading to fusion transcripts represent a class of oncogenic aberrations that are of high interest for understanding cancer biology, treating cancer patients, and as targets for the development of new therapies. Transcriptome sequencing via RNA-Seq coupled with downstream bioinformatics software applications offers an effective method for identifying candidate fusion transcripts, and is more targeted and cost-effective than whole genome sequencing. Although many such fusion detection software tools have recently been made available, they often differ greatly in prediction accuracy, execution times, computational requirements, installation complexity, and in not being readily accessible to non-bioinformatician cancer researchers.Here we present the Trinity Cancer Transcriptome Analysis Toolkit (CTAT), a newly developed suite of RNA-Seq targeted fusion detection tools leveraging …