FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq
1 Department of Diagnostic Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
2 Department of Information Science, School of Mathematical Sciences and LMAM, Peking University, Beijing 100871, China
3 Department of Pathology Florida Hospital, University of Central Florida, Orlando, FI 32803, USA
BMC Bioinformatics 2013, 14:193 doi:10.1186/1471-2105-14-193Published: 15 June 2013
Additional file 1: Table S1:
Fusion Reports from FusionQ.
Format: XLSX Size: 45KB Download file
Additional file 2: Table S2:
Fusion Reports from Tophat-Fusion.
Format: DOC Size: 282KB Download file
This file can be viewed with: Microsoft Word Viewer
Additional file 3: Table S3:
Fusion Reports from deFuse.
Format: XLSX Size: 1.1MB Download file