Identification of novel fusion genes in lung cancer using breakpoint assembly of transcriptome sequencing data

Study ID Alternative Stable ID Type
EGAS00001000659 Other

Study Description

Genomic translocation events frequently underlie cancer development through generation of gene fusions with oncogenic properties. Identification of such fusion transcripts by transcriptome sequencing might help to discover new potential therapeutic targets. We developed TRUP (Tumor-specimen suited RNA-seq Unified Pipeline (, a computational approach that combines split-read and read-pair analysis with de-novo assembly for the identification of chimeric transcripts in cancer specimens. We apply TRUP to RNA-seq data of different tumor types, and find it to be more sensitive than alternative tools in detecting chimeric transcripts, such as secondaryrearrangements in EML4-ALK-positive lung tumors, or recurrent inactivating rearrangements affecting RASSF8.

Study Datasets 1 dataset.

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Dataset ID Description Technology Samples
Fernandez-Cuesta et al., RNAseq data Pipline
Illumina HiSeq 2000 25

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