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FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq

Chenglin Liu12, Jinwen Ma2, ChungChe (Jeff) Chang3 and Xiaobo Zhou1*

Author Affiliations

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

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BMC Bioinformatics 2013, 14:193  doi:10.1186/1471-2105-14-193

Published: 15 June 2013

Additional files

Additional file 1: Table S1:

Fusion Reports from FusionQ.

Format: XLSX Size: 45KB Download file

Open Data

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

Open Data

Additional file 3: Table S3:

Fusion Reports from deFuse.

Format: XLSX Size: 1.1MB Download file

Open Data