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Targeted next-generation sequencing of a cancer transcriptome enhances detection of sequence variants and novel fusion transcripts

Joshua Z Levin1*, Michael F Berger2, Xian Adiconis1, Peter Rogov1, Alexandre Melnikov1, Timothy Fennell3, Chad Nusbaum1, Levi A Garraway2,4 and Andreas Gnirke1

1 Genome Sequencing and Analysis Program, Broad Institute of MIT and Harvard, 320 Charles Street, Cambridge, MA 02141, USA

2 Cancer Program, Broad Institute of MIT and Harvard, 5 Cambridge Center, Cambridge, MA 02142, USA

3 Sequencing Platform, Broad Institute of MIT and Harvard, 320 Charles Street, Cambridge, MA 02141, USA

4 Department of Medical Oncology and Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School, 44 Binney Street, Boston, MA 02115, USA

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Genome Biology 2009, 10:R115 doi:10.1186/gb-2009-10-10-r115

Published: 16 October 2009

Additional files

Additional data file 1:

Bait gene names and transcript accession numbers

Format: XLS Size: 88KB Download file

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Additional data file 2:

Novel SNPs

Format: XLS Size: 27KB Download file

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Additional data file 3:

Splice junctions

Format: XLS Size: 635KB Download file

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Additional data file 4:

Illumina reads from fusion transcripts

Format: XLS Size: 175KB Download file

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Additional data file 5:

Bait sequences

Format: TXT Size: 2.5MB Download file

Open Data