PT  - JOURNAL ARTICLE
AU  - Xin Hu
AU  - Qianghu Wang
AU  - Floris Barthel
AU  - Ming Tang
AU  - Samirkumar Amin
AU  - Kosuke Yoshihara
AU  - Frederick M. Lang
AU  - Soo Hyun Lee
AU  - Siyuan Zheng
AU  - Roel G.W. Verhaak
TI  - TumorFusions: an integrative resource for reporting cancer-associated transcript fusions in 33 tumor types
AID  - 10.1101/162180
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 162180
4099  - http://biorxiv.org/content/early/2017/07/11/162180.short
4100  - http://biorxiv.org/content/early/2017/07/11/162180.full
AB  - Fusion genes, particularly those involving kinases, have been demonstrated as drivers and are frequent therapeutic targets in cancer1. Here, we describe our results on detecting transcript fusions across 33 cancer types from The Cancer Genome Atlas (TCGA), totaling 9,966 cancer samples and 648 normal samples2. Preprocessing, including read alignment to both genome and transcriptome, and fusion detection were carried out using a uniform pipeline3. To validate the resultant fusions, we also called somatic structural variations for 561 cancers from whole genome sequencing data. A summary of the data used in this study is provided in Table S1. Our results can be accessed per our portal at http://www.tumorfusions.org.