Title |
MBASED: allele-specific expression detection in cancer tissues and cell lines
|
---|---|
Published in |
Genome Biology, August 2014
|
DOI | 10.1186/s13059-014-0405-3 |
Pubmed ID | |
Authors |
Oleg Mayba, Houston N Gilbert, Jinfeng Liu, Peter M Haverty, Suchit Jhunjhunwala, Zhaoshi Jiang, Colin Watanabe, Zemin Zhang |
Abstract |
Allele-specific gene expression, ASE, is an important aspect of gene regulation. We developed a novel method MBASED, meta-analysis based allele-specific expression detection for ASE detection using RNA-seq data that aggregates information across multiple single nucleotide variation loci to obtain a gene-level measure of ASE, even when prior phasing information is unavailable. MBASED is capable of one-sample and two-sample analyses and performs well in simulations. We applied MBASED to a panel of cancer cell lines and paired tumor-normal tissue samples, and observed extensive ASE in cancer, but not normal, samples, mainly driven by genomic copy number alterations. |
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