期刊
NATURE METHODS
卷 12, 期 4, 页码 347-U106出版社
NATURE PORTFOLIO
DOI: 10.1038/NMETH.3314
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资金
- US National Institutes of Health [R01HG006264, U01HG007013]
- US National Science Foundation [1262134]
- Direct For Biological Sciences [1262134] Funding Source: National Science Foundation
- Div Of Biological Infrastructure [1262134] Funding Source: National Science Foundation
RNA editing generates post-transcriptional sequence changes that can be deduced from RNA-seq data, but detection typically requires matched genomic sequence or multiple related expression data sets. We developed the GIREMI tool (genome-independent identification of RNA editing by mutual information; https://www.ibp.ucla.edu/research/xiao/GIREMI.html) to predict adenosine-to-inosine editing accurately and sensitively from a single RNA-seq data set of modest sequencing depth. Using GIREMI on existing data, we observed tissue-specific and evolutionary patterns in editing sites in the human population.
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