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- W1569294608 abstract "Comparing exon and intron reads in RNA-seq data reveals the levels of nascent and steady-state RNA. RNA-seq experiments generate reads derived not only from mature RNA transcripts but also from pre-mRNA. Here we present a computational approach called exon-intron split analysis (EISA) that measures changes in mature RNA and pre-mRNA reads across different experimental conditions to quantify transcriptional and post-transcriptional regulation of gene expression. We apply EISA to 17 diverse data sets to show that most intronic reads arise from nuclear RNA and changes in intronic read counts accurately predict changes in transcriptional activity. Furthermore, changes in post-transcriptional regulation can be predicted from differences between exonic and intronic changes. EISA reveals both transcriptional and post-transcriptional contributions to expression changes, increasing the amount of information that can be gained from RNA-seq data sets." @default.
- W1569294608 created "2016-06-24" @default.
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- W1569294608 date "2015-06-22" @default.
- W1569294608 modified "2023-10-15" @default.
- W1569294608 title "Analysis of intronic and exonic reads in RNA-seq data characterizes transcriptional and post-transcriptional regulation" @default.
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- W1569294608 doi "https://doi.org/10.1038/nbt.3269" @default.
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