High-Resolution Sequencing and Modeling Identifies Distinct Dynamic RNA Regulatory Strategies

High-Resolution Sequencing and Modeling Identifies Distinct Dynamic RNA Regulatory Strategies

Cells control dynamic transitions in transcript levels by regulating transcription, processing, and/or degradation through an integrated regulatory strategy. Here, we combine RNA metabolic labeling, rRNA-depleted RNA-seq, and DRiLL, a novel computational framework, to quantify the level; editing sit...

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Main Authors: Raychowdhury, Raktima (Author), Jovanovic, Marko (Author), Stumpo, Deborah J (Author), Pauli, Andrea (Author), Hacohen, Nir (Author), Schier, Alexander F (Author), Blackshear, Perry J (Author), Friedman, Nir (Author), Amit, Ido (Author), Rabani, Michal (Contributor), Rooney, Michael Steven (Contributor), Regev, Aviv (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Elsevier, 2016-12-07T14:27:04Z.
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