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Sensitive gene fusion detection using ambiguously mapping RNA-Seq read pairs
Author(s) -
Marcus Kinsella,
Olivier Harismendy,
Masakazu Nakano,
Kelly A. Frazer,
Vineet Bafna
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr085
Subject(s) - python (programming language) , computer science , transcriptome , computational biology , spurious relationship , rna seq , fusion gene , biology , gene , genetics , gene expression , machine learning , operating system
Paired-end whole transcriptome sequencing provides evidence for fusion transcripts. However, due to the repetitiveness of the transcriptome, many reads have multiple high-quality mappings. Previous methods to find gene fusions either ignored these reads or required additional longer single reads. This can obscure up to 30% of fusions and unnecessarily discards much of the data.

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